1133 lines
28 KiB
C
1133 lines
28 KiB
C
/*
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* DDS PIKA plugin
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*
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* Copyright (C) 2004-2012 Shawn Kirst <skirst@gmail.com>,
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* with parts (C) 2003 Arne Reuter <homepage@arnereuter.de> where specified.
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*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public
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* License as published by the Free Software Foundation; either
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* version 2 of the License, or (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; see the file COPYING. If not, write to
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* the Free Software Foundation, 51 Franklin Street, Fifth Floor
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* Boston, MA 02110-1301, USA.
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*/
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#include <stdlib.h>
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#include <string.h>
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#include <math.h>
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#include <float.h>
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#include <gtk/gtk.h>
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#ifdef _OPENMP
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#include <omp.h>
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#endif
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#include "dds.h"
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#include "mipmap.h"
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#include "imath.h"
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#include "color.h"
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typedef float (*filterfunc_t)(float);
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typedef int (*wrapfunc_t)(int, int);
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typedef void (*mipmapfunc_t)(unsigned char *, int, int, unsigned char *, int, int, int, filterfunc_t, float, wrapfunc_t, int, float);
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typedef void (*volmipmapfunc_t)(unsigned char *, int, int, int, unsigned char *, int, int, int, int, filterfunc_t, float, wrapfunc_t, int, float);
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/******************************************************************************
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* size functions *
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******************************************************************************/
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int
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get_num_mipmaps (int width,
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int height)
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{
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int w = width << 1;
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int h = height << 1;
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int n = 0;
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while (w != 1 || h != 1)
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{
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if (w > 1) w >>= 1;
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if (h > 1) h >>= 1;
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++n;
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}
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return n;
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}
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unsigned int
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get_mipmapped_size (int width,
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int height,
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int bpp,
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int level,
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int num,
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int format)
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{
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int w, h, n = 0;
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unsigned int size = 0;
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w = width >> level;
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h = height >> level;
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w = MAX(1, w);
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h = MAX(1, h);
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w <<= 1;
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h <<= 1;
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while (n < num && (w != 1 || h != 1))
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{
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if (w > 1) w >>= 1;
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if (h > 1) h >>= 1;
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if (format == DDS_COMPRESS_NONE)
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size += (w * h);
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else
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size += ((w + 3) >> 2) * ((h + 3) >> 2);
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++n;
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}
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if (format == DDS_COMPRESS_NONE)
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{
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size *= bpp;
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}
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else
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{
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if (format == DDS_COMPRESS_BC1 || format == DDS_COMPRESS_BC4)
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size *= 8;
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else
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size *= 16;
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}
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return size;
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}
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unsigned int
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get_volume_mipmapped_size (int width,
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int height,
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int depth,
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int bpp,
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int level,
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int num,
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int format)
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{
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int w, h, d, n = 0;
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unsigned int size = 0;
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w = width >> level;
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h = height >> level;
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d = depth >> level;
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w = MAX(1, w);
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h = MAX(1, h);
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d = MAX(1, d);
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w <<= 1;
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h <<= 1;
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d <<= 1;
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while (n < num && (w != 1 || h != 1))
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{
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if (w > 1) w >>= 1;
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if (h > 1) h >>= 1;
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if (d > 1) d >>= 1;
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if (format == DDS_COMPRESS_NONE)
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size += (w * h * d);
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else
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size += (((w + 3) >> 2) * ((h + 3) >> 2) * d);
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++n;
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}
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if (format == DDS_COMPRESS_NONE)
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{
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size *= bpp;
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}
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else
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{
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if (format == DDS_COMPRESS_BC1 || format == DDS_COMPRESS_BC4)
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size *= 8;
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else
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size *= 16;
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}
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return size;
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}
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int
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get_next_mipmap_dimensions (int *next_w,
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int *next_h,
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int curr_w,
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int curr_h)
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{
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if (curr_w == 1 || curr_h == 1)
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return 0;
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if (next_w) *next_w = curr_w >> 1;
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if (next_h) *next_h = curr_h >> 1;
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return 1;
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}
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/******************************************************************************
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* wrap modes *
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******************************************************************************/
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static int
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wrap_mirror (int x,
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int max)
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{
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if (max == 1) x = 0;
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x = abs(x);
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while (x >= max)
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x = abs(max + max - x - 2);
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return x;
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}
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static int
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wrap_repeat (int x,
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int max)
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{
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if (x >= 0)
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return x % max;
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return (x + 1) % max + max - 1;
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}
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static int
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wrap_clamp (int x,
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int max)
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{
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return MAX(0, MIN(max - 1, x));
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}
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/******************************************************************************
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* gamma-correction *
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******************************************************************************/
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static int
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linear_to_gamma (int gc,
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int v,
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float gamma)
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{
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if (gc == 1)
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{
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v = (int)(powf((float)v / 255.0f, gamma) * 255);
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if (v > 255) v = 255;
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}
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else if (gc == 2)
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{
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v = linear_to_sRGB(v);
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}
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return v;
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}
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static int
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gamma_to_linear (int gc,
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int v,
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float gamma)
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{
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if (gc == 1)
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{
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v = (int)(powf((float)v / 255.0f, 1.0f / gamma) * 255);
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if(v > 255) v = 255;
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}
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else if (gc == 2)
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{
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v = sRGB_to_linear(v);
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}
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return v;
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}
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/******************************************************************************
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* filters *
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******************************************************************************/
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static float
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box_filter (float t)
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{
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if ((t >= -0.5f) && (t < 0.5f))
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return 1.0f;
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return 0.0f;
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}
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static float
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triangle_filter (float t)
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{
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if (t < 0.0f) t = -t;
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if (t < 1.0f) return 1.0f - t;
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return 0.0f;
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}
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static float
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quadratic_filter (float t)
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{
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if (t < 0.0f) t = -t;
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if (t < 0.5f) return 0.75f - t * t;
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if (t < 1.5f)
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{
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t -= 1.5f;
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return 0.5f * t * t;
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}
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return 0.0f;
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}
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static float
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bspline_filter (float t)
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{
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float tt;
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if (t < 0.0f)
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t = -t;
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if (t < 1.0f)
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{
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tt = t * t;
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return ((0.5f * tt * t) - tt + (2.0f / 3.0f));
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}
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else if (t < 2.0f)
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{
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t = 2.0f - t;
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return (1.0f / 6.0f) * (t * t * t);
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}
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return 0.0f;
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}
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static float
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mitchell (float t,
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const float B,
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const float C)
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{
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float tt;
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tt = t * t;
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if (t < 0.0f)
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t = -t;
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if (t < 1.0f)
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{
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t = (((12.0f - 9.0f * B - 6.0f * C) * (t * tt)) +
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((-18.0f + 12.0f * B + 6.0f * C) * tt) +
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(6.0f - 2.0f * B));
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return t / 6.0f;
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}
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else if (t < 2.0f)
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{
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t = (((-1.0f * B - 6.0f * C) * (t * tt)) +
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((6.0f * B + 30.0f * C) * tt) +
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((-12.0f * B - 48.0f * C) * t) +
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(8.0f * B + 24.0f * C));
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return t / 6.0f;
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}
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return 0.0f;
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}
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static float
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mitchell_filter (float t)
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{
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return mitchell(t, 1.0f / 3.0f, 1.0f / 3.0f);
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}
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static float
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sinc (float x)
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{
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x = (x * M_PI);
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if (fabsf(x) < 1e-04f)
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return 1.0f + x * x * (-1.0f / 6.0f + x * x * 1.0f / 120.0f);
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return sinf(x) / x;
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}
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static float
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lanczos_filter (float t)
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{
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if (t < 0.0f) t = -t;
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if (t < 3.0f) return sinc(t) * sinc(t / 3.0f);
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return 0.0f;
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}
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static float
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bessel0 (float x)
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{
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const float EPSILON = 1e-6f;
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float xh, sum, pow, ds;
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int k;
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xh = 0.5f * x;
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sum = 1.0f;
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pow = 1.0f;
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k = 0;
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ds = 1.0f;
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while (ds > sum * EPSILON)
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{
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++k;
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pow = pow * (xh / k);
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ds = pow * pow;
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sum += ds;
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}
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return sum;
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}
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static float
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kaiser_filter (float t)
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{
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if (t < 0.0f) t = -t;
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if (t < 3.0f)
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{
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const float alpha = 4.0f;
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const float rb04 = 0.0884805322f; // 1.0f / bessel0(4.0f);
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const float ratio = t / 3.0f;
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if ((1.0f - ratio * ratio) >= 0)
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return sinc(t) * bessel0(alpha * sqrtf(1.0f - ratio * ratio)) * rb04;
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}
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return 0.0f;
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}
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/******************************************************************************
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* 2D image scaling *
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******************************************************************************/
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static void
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scale_image_nearest (unsigned char *dst,
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int dw,
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int dh,
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unsigned char *src,
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int sw,
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int sh,
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int bpp,
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filterfunc_t filter,
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float support,
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wrapfunc_t wrap,
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int gc,
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float gamma)
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{
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int n, x, y;
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int ix, iy;
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int srowbytes = sw * bpp;
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int drowbytes = dw * bpp;
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for (y = 0; y < dh; ++y)
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{
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iy = (y * sh + sh / 2) / dh;
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for (x = 0; x < dw; ++x)
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{
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ix = (x * sw + sw / 2) / dw;
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for (n = 0; n < bpp; ++n)
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{
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dst[y * drowbytes + (x * bpp) + n] =
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src[iy * srowbytes + (ix * bpp) + n];
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}
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}
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}
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}
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static void
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scale_image (unsigned char *dst,
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int dw,
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int dh,
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unsigned char *src,
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int sw,
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int sh,
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int bpp,
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filterfunc_t filter,
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float support,
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wrapfunc_t wrap,
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int gc,
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float gamma)
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{
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const float blur = 1.0f;
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const float xfactor = (float)dw / (float)sw;
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const float yfactor = (float)dh / (float)sh;
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int x, y, start, stop, nmax, n, i;
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int sstride = sw * bpp;
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float center, contrib, density, s, r, t;
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unsigned char *d, *row, *col;
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float xscale = MIN(xfactor, 1.0f) / blur;
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float yscale = MIN(yfactor, 1.0f) / blur;
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float xsupport = support / xscale;
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float ysupport = support / yscale;
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unsigned char *tmp;
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if (xsupport <= 0.5f)
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{
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xsupport = 0.5f + 1e-10f;
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xscale = 1.0f;
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}
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if (ysupport <= 0.5f)
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{
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ysupport = 0.5f + 1e-10f;
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yscale = 1.0f;
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}
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#ifdef _OPENMP
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tmp = g_malloc(sw * bpp * omp_get_max_threads());
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#else
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tmp = g_malloc(sw * bpp);
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#endif
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#ifdef _OPENMP
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#pragma omp parallel for schedule(dynamic) \
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private(x, y, d, row, col, center, start, stop, nmax, s, i, n, density, r, t, contrib)
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#endif
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for (y = 0; y < dh; ++y)
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{
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/* resample in Y direction to temp buffer */
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d = tmp;
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#ifdef _OPENMP
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d += (sw * bpp * omp_get_thread_num());
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#endif
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center = ((float)y + 0.5f) / yfactor;
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start = (int)(center - ysupport + 0.5f);
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stop = (int)(center + ysupport + 0.5f);
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nmax = stop - start;
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s = (float)start - center + 0.5f;
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for (x = 0; x < sw; ++x)
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{
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col = src + (x * bpp);
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for (i = 0; i < bpp; ++i)
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{
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density = 0.0f;
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r = 0.0f;
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for (n = 0; n < nmax; ++n)
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{
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contrib = filter((s + n) * yscale);
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density += contrib;
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if (i == 3)
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t = col[(wrap(start + n, sh) * sstride) + i];
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else
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t = linear_to_gamma(gc, col[(wrap(start + n, sh) * sstride) + i], gamma);
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r += t * contrib;
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}
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if (density != 0.0f && density != 1.0f)
|
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r /= density;
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r = MIN(255, MAX(0, r));
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|
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if (i != 3)
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r = gamma_to_linear(gc, r, gamma);
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d[(x * bpp) + i] = (unsigned char)r;
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}
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}
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|
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/* resample in X direction using temp buffer */
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row = d;
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d = dst;
|
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for (x = 0; x < dw; ++x)
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{
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center = ((float)x + 0.5f) / xfactor;
|
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start = (int)(center - xsupport + 0.5f);
|
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stop = (int)(center + xsupport + 0.5f);
|
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nmax = stop - start;
|
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s = (float)start - center + 0.5f;
|
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|
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for (i = 0; i < bpp; ++i)
|
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{
|
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density = 0.0f;
|
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r = 0.0f;
|
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|
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for (n = 0; n < nmax; ++n)
|
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{
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contrib = filter((s + n) * xscale);
|
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density += contrib;
|
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if (i == 3)
|
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t = row[(wrap(start + n, sw) * bpp) + i];
|
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else
|
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t = linear_to_gamma(gc, row[(wrap(start + n, sw) * bpp) + i], gamma);
|
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r += t * contrib;
|
|
}
|
|
|
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if (density != 0.0f && density != 1.0f)
|
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r /= density;
|
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|
|
r = MIN(255, MAX(0, r));
|
|
|
|
if (i != 3)
|
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r = gamma_to_linear(gc, r, gamma);
|
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|
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d[(y * (dw * bpp)) + (x * bpp) + i] = (unsigned char)r;
|
|
}
|
|
}
|
|
}
|
|
|
|
g_free (tmp);
|
|
}
|
|
|
|
/******************************************************************************
|
|
* 3D image scaling *
|
|
******************************************************************************/
|
|
|
|
static void
|
|
scale_volume_image_nearest (unsigned char *dst,
|
|
int dw,
|
|
int dh,
|
|
int dd,
|
|
unsigned char *src,
|
|
int sw,
|
|
int sh,
|
|
int sd,
|
|
int bpp,
|
|
filterfunc_t filter,
|
|
float support,
|
|
wrapfunc_t wrap,
|
|
int gc,
|
|
float gamma)
|
|
{
|
|
int n, x, y, z;
|
|
int ix, iy, iz;
|
|
|
|
for (z = 0; z < dd; ++z)
|
|
{
|
|
iz = (z * sd + sd / 2) / dd;
|
|
for (y = 0; y < dh; ++y)
|
|
{
|
|
iy = (y * sh + sh / 2) / dh;
|
|
for (x = 0; x < dw; ++x)
|
|
{
|
|
ix = (x * sw + sw / 2) / dw;
|
|
for (n = 0; n < bpp; ++n)
|
|
{
|
|
dst[(z * (dw * dh)) + (y * dw) + (x * bpp) + n] =
|
|
src[(iz * (sw * sh)) + (iy * sw) + (ix * bpp) + n];
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
static void
|
|
scale_volume_image (unsigned char *dst,
|
|
int dw,
|
|
int dh,
|
|
int dd,
|
|
unsigned char *src,
|
|
int sw,
|
|
int sh,
|
|
int sd,
|
|
int bpp,
|
|
filterfunc_t filter,
|
|
float support,
|
|
wrapfunc_t wrap,
|
|
int gc,
|
|
float gamma)
|
|
{
|
|
const float blur = 1.0f;
|
|
const float xfactor = (float)dw / (float)sw;
|
|
const float yfactor = (float)dh / (float)sh;
|
|
const float zfactor = (float)dd / (float)sd;
|
|
|
|
int x, y, z, start, stop, nmax, n, i;
|
|
int sstride = sw * bpp;
|
|
int zstride = sh * sw * bpp;
|
|
float center, contrib, density, s, r, t;
|
|
|
|
unsigned char *d, *row, *col, *slice;
|
|
|
|
float xscale = MIN(xfactor, 1.0f) / blur;
|
|
float yscale = MIN(yfactor, 1.0f) / blur;
|
|
float zscale = MIN(zfactor, 1.0f) / blur;
|
|
float xsupport = support / xscale;
|
|
float ysupport = support / yscale;
|
|
float zsupport = support / zscale;
|
|
unsigned char *tmp1, *tmp2;
|
|
|
|
/* down to a 2D image, use the faster 2D image resampler */
|
|
if (dd == 1 && sd == 1)
|
|
{
|
|
scale_image(dst, dw, dh, src, sw, sh, bpp, filter, support, wrap, gc, gamma);
|
|
return;
|
|
}
|
|
|
|
if (xsupport <= 0.5f)
|
|
{
|
|
xsupport = 0.5f + 1e-10f;
|
|
xscale = 1.0f;
|
|
}
|
|
|
|
if (ysupport <= 0.5f)
|
|
{
|
|
ysupport = 0.5f + 1e-10f;
|
|
yscale = 1.0f;
|
|
}
|
|
|
|
if (zsupport <= 0.5f)
|
|
{
|
|
zsupport = 0.5f + 1e-10f;
|
|
zscale = 1.0f;
|
|
}
|
|
|
|
tmp1 = g_malloc(sh * sw * bpp);
|
|
tmp2 = g_malloc(dh * sw * bpp);
|
|
|
|
for (z = 0; z < dd; ++z)
|
|
{
|
|
/* resample in Z direction */
|
|
d = tmp1;
|
|
|
|
center = ((float)z + 0.5f) / zfactor;
|
|
start = (int)(center - zsupport + 0.5f);
|
|
stop = (int)(center + zsupport + 0.5f);
|
|
nmax = stop - start;
|
|
s = (float)start - center + 0.5f;
|
|
|
|
#ifdef _OPENMP
|
|
#pragma omp parallel for schedule(dynamic) \
|
|
private(x, y, slice, i, n, density, r, t, contrib)
|
|
#endif
|
|
for (y = 0; y < sh; ++y)
|
|
{
|
|
for (x = 0; x < sw; ++x)
|
|
{
|
|
slice = src + (y * (sw * bpp)) + (x * bpp);
|
|
|
|
for (i = 0; i < bpp; ++i)
|
|
{
|
|
density = 0.0f;
|
|
r = 0.0f;
|
|
|
|
for (n = 0; n < nmax; ++n)
|
|
{
|
|
contrib = filter((s + n) * zscale);
|
|
density += contrib;
|
|
if (i == 3)
|
|
t = slice[(wrap(start + n, sd) * zstride) + i];
|
|
else
|
|
t = linear_to_gamma(gc, slice[(wrap(start + n, sd) * zstride) + i], gamma);
|
|
r += t * contrib;
|
|
}
|
|
|
|
if (density != 0.0f && density != 1.0f)
|
|
r /= density;
|
|
|
|
r = MIN(255, MAX(0, r));
|
|
|
|
if (i != 3)
|
|
r = gamma_to_linear(gc, r, gamma);
|
|
|
|
d[((y * sw) + x) * bpp + i] = (unsigned char)r;
|
|
}
|
|
}
|
|
}
|
|
|
|
/* resample in Y direction */
|
|
d = tmp2;
|
|
#ifdef _OPENMP
|
|
#pragma omp parallel for schedule(dynamic) \
|
|
private(x, y, col, center, start, stop, nmax, s, i, n, density, r, t, contrib)
|
|
#endif
|
|
for (y = 0; y < dh; ++y)
|
|
{
|
|
center = ((float)y + 0.5f) / yfactor;
|
|
start = (int)(center - ysupport + 0.5f);
|
|
stop = (int)(center + ysupport + 0.5f);
|
|
nmax = stop - start;
|
|
s = (float)start - center + 0.5f;
|
|
|
|
for (x = 0; x < sw; ++x)
|
|
{
|
|
col = tmp1 + (x * bpp);
|
|
|
|
for (i = 0; i < bpp; ++i)
|
|
{
|
|
density = 0.0f;
|
|
r = 0.0f;
|
|
|
|
for (n = 0; n < nmax; ++n)
|
|
{
|
|
contrib = filter((s + n) * yscale);
|
|
density += contrib;
|
|
if (i == 3)
|
|
t = col[(wrap(start + n, sh) * sstride) + i];
|
|
else
|
|
t = linear_to_gamma(gc, col[(wrap(start + n, sh) * sstride) + i], gamma);
|
|
r += t * contrib;
|
|
}
|
|
|
|
if (density != 0.0f && density != 1.0f)
|
|
r /= density;
|
|
|
|
r = MIN(255, MAX(0, r));
|
|
|
|
if (i != 3)
|
|
r = gamma_to_linear(gc, r, gamma);
|
|
|
|
d[((y * sw) + x) * bpp + i] = (unsigned char)r;
|
|
}
|
|
}
|
|
}
|
|
|
|
/* resample in X direction */
|
|
d = dst;
|
|
#ifdef _OPENMP
|
|
#pragma omp parallel for schedule(dynamic) \
|
|
private(x, y, row, center, start, stop, nmax, s, i, n, density, r, t, contrib)
|
|
#endif
|
|
for (y = 0; y < dh; ++y)
|
|
{
|
|
row = tmp2 + (y * sstride);
|
|
|
|
for (x = 0; x < dw; ++x)
|
|
{
|
|
center = ((float)x + 0.5f) / xfactor;
|
|
start = (int)(center - xsupport + 0.5f);
|
|
stop = (int)(center + xsupport + 0.5f);
|
|
nmax = stop - start;
|
|
s = (float)start - center + 0.5f;
|
|
|
|
for (i = 0; i < bpp; ++i)
|
|
{
|
|
density = 0.0f;
|
|
r = 0.0f;
|
|
|
|
for (n = 0; n < nmax; ++n)
|
|
{
|
|
contrib = filter((s + n) * xscale);
|
|
density += contrib;
|
|
if (i == 3)
|
|
t = row[(wrap(start + n, sw) * bpp) + i];
|
|
else
|
|
t = linear_to_gamma(gc, row[(wrap(start + n, sw) * bpp) + i], gamma);
|
|
r += t * contrib;
|
|
}
|
|
|
|
if (density != 0.0f && density != 1.0f)
|
|
r /= density;
|
|
|
|
r = MIN(255, MAX(0, r));
|
|
|
|
if (i != 3)
|
|
r = gamma_to_linear(gc, r, gamma);
|
|
|
|
d[((z * dh * dw) + (y * dw) + x) * bpp + i] = (unsigned char)r;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
g_free (tmp1);
|
|
g_free (tmp2);
|
|
}
|
|
|
|
/******************************************************************************
|
|
* filter lookup table *
|
|
******************************************************************************/
|
|
|
|
static struct
|
|
{
|
|
int filter;
|
|
filterfunc_t func;
|
|
float support;
|
|
} filters[] =
|
|
{
|
|
{ DDS_MIPMAP_FILTER_BOX, box_filter, 0.5f },
|
|
{ DDS_MIPMAP_FILTER_TRIANGLE, triangle_filter, 1.0f },
|
|
{ DDS_MIPMAP_FILTER_QUADRATIC, quadratic_filter, 1.5f },
|
|
{ DDS_MIPMAP_FILTER_BSPLINE, bspline_filter, 2.0f },
|
|
{ DDS_MIPMAP_FILTER_MITCHELL, mitchell_filter, 2.0f },
|
|
{ DDS_MIPMAP_FILTER_LANCZOS, lanczos_filter, 3.0f },
|
|
{ DDS_MIPMAP_FILTER_KAISER, kaiser_filter, 3.0f },
|
|
{ DDS_MIPMAP_FILTER_MAX, NULL, 0.0f }
|
|
};
|
|
|
|
/*
|
|
* Alpha test coverage - portion of visible texels after alpha test:
|
|
* if (texel_alpha < alpha_test_threshold)
|
|
* discard;
|
|
*/
|
|
static float
|
|
calc_alpha_test_coverage (unsigned char *src,
|
|
unsigned int width,
|
|
unsigned int height,
|
|
int bpp,
|
|
float alpha_test_threshold,
|
|
float alpha_scale)
|
|
{
|
|
unsigned int x, y;
|
|
int rowbytes = width * bpp;
|
|
int coverage = 0;
|
|
const int alpha_channel_idx = 3;
|
|
|
|
if (bpp <= alpha_channel_idx)
|
|
{
|
|
/* No alpha channel */
|
|
return 1.f;
|
|
}
|
|
|
|
for (y = 0; y < height; ++y)
|
|
{
|
|
for (x = 0; x < width; ++x)
|
|
{
|
|
const float alpha = src[y * rowbytes + (x * bpp) + alpha_channel_idx];
|
|
if ((alpha * alpha_scale) >= (alpha_test_threshold * 255))
|
|
{
|
|
++coverage;
|
|
}
|
|
}
|
|
}
|
|
|
|
return (float)coverage / (width * height);
|
|
}
|
|
|
|
static void
|
|
scale_alpha_to_coverage (unsigned char *img,
|
|
unsigned int width,
|
|
unsigned int height,
|
|
int bpp,
|
|
float desired_coverage,
|
|
float alpha_test_threshold)
|
|
{
|
|
int i;
|
|
unsigned int x, y;
|
|
const int rowbytes = width * bpp;
|
|
const int alpha_channel_idx = 3;
|
|
float min_alpha_scale = 0.0f;
|
|
float max_alpha_scale = 4.0f;
|
|
float alpha_scale = 1.0f;
|
|
|
|
if (bpp <= alpha_channel_idx)
|
|
{
|
|
/* No alpha channel */
|
|
return;
|
|
}
|
|
|
|
/* Binary search */
|
|
for (i = 0; i < 10; i++)
|
|
{
|
|
float cur_coverage = calc_alpha_test_coverage(img, width, height, bpp, alpha_test_threshold, alpha_scale);
|
|
|
|
if (cur_coverage < desired_coverage)
|
|
{
|
|
min_alpha_scale = alpha_scale;
|
|
}
|
|
else if (cur_coverage > desired_coverage)
|
|
{
|
|
max_alpha_scale = alpha_scale;
|
|
}
|
|
else
|
|
{
|
|
break;
|
|
}
|
|
|
|
alpha_scale = (min_alpha_scale + max_alpha_scale) / 2;
|
|
}
|
|
|
|
/* Scale alpha channel */
|
|
for (y = 0; y < height; ++y)
|
|
{
|
|
for (x = 0; x < width; ++x)
|
|
{
|
|
float new_alpha = img[y * rowbytes + (x * bpp) + alpha_channel_idx] * alpha_scale;
|
|
if (new_alpha > 255.0f)
|
|
{
|
|
new_alpha = 255.0f;
|
|
}
|
|
|
|
img[y * rowbytes + (x * bpp) + alpha_channel_idx] = (unsigned char)new_alpha;
|
|
}
|
|
}
|
|
}
|
|
|
|
/******************************************************************************
|
|
* mipmap generation *
|
|
******************************************************************************/
|
|
|
|
int
|
|
generate_mipmaps (unsigned char *dst,
|
|
unsigned char *src,
|
|
unsigned int width,
|
|
unsigned int height,
|
|
int bpp,
|
|
int indexed,
|
|
int mipmaps,
|
|
int filter,
|
|
int wrap,
|
|
int gc,
|
|
float gamma,
|
|
int preserve_alpha_coverage,
|
|
float alpha_test_threshold)
|
|
{
|
|
int i;
|
|
unsigned int sw, sh, dw, dh;
|
|
unsigned char *s, *d;
|
|
mipmapfunc_t mipmap_func = NULL;
|
|
filterfunc_t filter_func = NULL;
|
|
wrapfunc_t wrap_func = NULL;
|
|
float support = 0.0f;
|
|
const int has_alpha = (bpp >= 3);
|
|
float alpha_test_coverage = 1;
|
|
|
|
if (indexed || filter == DDS_MIPMAP_FILTER_NEAREST)
|
|
{
|
|
mipmap_func = scale_image_nearest;
|
|
}
|
|
else
|
|
{
|
|
if ((filter <= DDS_MIPMAP_FILTER_DEFAULT) ||
|
|
(filter >= DDS_MIPMAP_FILTER_MAX))
|
|
filter = DDS_MIPMAP_FILTER_BOX;
|
|
|
|
mipmap_func = scale_image;
|
|
|
|
for (i = 0; filters[i].filter != DDS_MIPMAP_FILTER_MAX; ++i)
|
|
{
|
|
if (filter == filters[i].filter)
|
|
{
|
|
filter_func = filters[i].func;
|
|
support = filters[i].support;
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
|
|
switch (wrap)
|
|
{
|
|
case DDS_MIPMAP_WRAP_MIRROR: wrap_func = wrap_mirror; break;
|
|
case DDS_MIPMAP_WRAP_REPEAT: wrap_func = wrap_repeat; break;
|
|
case DDS_MIPMAP_WRAP_CLAMP: wrap_func = wrap_clamp; break;
|
|
default: wrap_func = wrap_clamp; break;
|
|
}
|
|
|
|
if (has_alpha && preserve_alpha_coverage)
|
|
{
|
|
alpha_test_coverage = calc_alpha_test_coverage(src, width, height, bpp,
|
|
alpha_test_threshold,
|
|
1.0f);
|
|
}
|
|
|
|
memcpy (dst, src, width * height * bpp);
|
|
|
|
s = dst;
|
|
d = dst + (width * height * bpp);
|
|
|
|
sw = width;
|
|
sh = height;
|
|
|
|
for (i = 1; i < mipmaps; ++i)
|
|
{
|
|
dw = MAX(1, sw >> 1);
|
|
dh = MAX(1, sh >> 1);
|
|
|
|
mipmap_func(d, dw, dh, s, sw, sh, bpp, filter_func, support, wrap_func, gc, gamma);
|
|
|
|
if (has_alpha && preserve_alpha_coverage)
|
|
{
|
|
scale_alpha_to_coverage(d, dw, dh, bpp, alpha_test_coverage, alpha_test_threshold);
|
|
}
|
|
|
|
s = d;
|
|
sw = dw;
|
|
sh = dh;
|
|
d += (dw * dh * bpp);
|
|
}
|
|
|
|
return 1;
|
|
}
|
|
|
|
int
|
|
generate_volume_mipmaps (unsigned char *dst,
|
|
unsigned char *src,
|
|
unsigned int width,
|
|
unsigned int height,
|
|
unsigned int depth,
|
|
int bpp,
|
|
int indexed,
|
|
int mipmaps,
|
|
int filter,
|
|
int wrap,
|
|
int gc,
|
|
float gamma)
|
|
{
|
|
int i;
|
|
unsigned int sw, sh, sd;
|
|
unsigned int dw, dh, dd;
|
|
unsigned char *s, *d;
|
|
volmipmapfunc_t mipmap_func = NULL;
|
|
filterfunc_t filter_func = NULL;
|
|
wrapfunc_t wrap_func = NULL;
|
|
float support = 0.0f;
|
|
|
|
if (indexed || filter == DDS_MIPMAP_FILTER_NEAREST)
|
|
{
|
|
mipmap_func = scale_volume_image_nearest;
|
|
}
|
|
else
|
|
{
|
|
if ((filter <= DDS_MIPMAP_FILTER_DEFAULT) ||
|
|
(filter >= DDS_MIPMAP_FILTER_MAX))
|
|
filter = DDS_MIPMAP_FILTER_BOX;
|
|
|
|
mipmap_func = scale_volume_image;
|
|
|
|
for (i = 0; filters[i].filter != DDS_MIPMAP_FILTER_MAX; ++i)
|
|
{
|
|
if (filter == filters[i].filter)
|
|
{
|
|
filter_func = filters[i].func;
|
|
support = filters[i].support;
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
|
|
switch (wrap)
|
|
{
|
|
case DDS_MIPMAP_WRAP_MIRROR: wrap_func = wrap_mirror; break;
|
|
case DDS_MIPMAP_WRAP_REPEAT: wrap_func = wrap_repeat; break;
|
|
case DDS_MIPMAP_WRAP_CLAMP: wrap_func = wrap_clamp; break;
|
|
default: wrap_func = wrap_clamp; break;
|
|
}
|
|
|
|
memcpy (dst, src, width * height * depth * bpp);
|
|
|
|
s = dst;
|
|
d = dst + (width * height * depth * bpp);
|
|
|
|
sw = width;
|
|
sh = height;
|
|
sd = depth;
|
|
|
|
for (i = 1; i < mipmaps; ++i)
|
|
{
|
|
dw = MAX(1, sw >> 1);
|
|
dh = MAX(1, sh >> 1);
|
|
dd = MAX(1, sd >> 1);
|
|
|
|
mipmap_func (d, dw, dh, dd, s, sw, sh, sd, bpp, filter_func, support, wrap_func, gc, gamma);
|
|
|
|
s = d;
|
|
sw = dw;
|
|
sh = dh;
|
|
sd = dd;
|
|
d += (dw * dh * dd * bpp);
|
|
}
|
|
|
|
return 1;
|
|
}
|
