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714 lines
22 KiB
C++
714 lines
22 KiB
C++
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#include "CompressorDXT1.h"
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#include "SingleColorLookup.h"
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#include "ClusterFit.h"
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#include "QuickCompressDXT.h" // Deprecate.
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#include "nvimage/ColorBlock.h"
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#include "nvimage/BlockDXT.h"
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#include "nvmath/Color.inl"
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#include "nvmath/Vector.inl"
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#include "nvmath/Fitting.h"
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#include "nvmath/ftoi.h"
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#include "nvcore/Utils.h" // swap
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#include <string.h> // memset
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using namespace nv;
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///////////////////////////////////////////////////////////////////////////////////////////////////
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// Color conversion functions.
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static const float midpoints5[32] = {
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0.015686f, 0.047059f, 0.078431f, 0.111765f, 0.145098f, 0.176471f, 0.207843f, 0.241176f, 0.274510f, 0.305882f, 0.337255f, 0.370588f, 0.403922f, 0.435294f, 0.466667f, 0.5f,
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0.533333f, 0.564706f, 0.596078f, 0.629412f, 0.662745f, 0.694118f, 0.725490f, 0.758824f, 0.792157f, 0.823529f, 0.854902f, 0.888235f, 0.921569f, 0.952941f, 0.984314f, 1.0f
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};
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static const float midpoints6[64] = {
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0.007843f, 0.023529f, 0.039216f, 0.054902f, 0.070588f, 0.086275f, 0.101961f, 0.117647f, 0.133333f, 0.149020f, 0.164706f, 0.180392f, 0.196078f, 0.211765f, 0.227451f, 0.245098f,
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0.262745f, 0.278431f, 0.294118f, 0.309804f, 0.325490f, 0.341176f, 0.356863f, 0.372549f, 0.388235f, 0.403922f, 0.419608f, 0.435294f, 0.450980f, 0.466667f, 0.482353f, 0.500000f,
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0.517647f, 0.533333f, 0.549020f, 0.564706f, 0.580392f, 0.596078f, 0.611765f, 0.627451f, 0.643137f, 0.658824f, 0.674510f, 0.690196f, 0.705882f, 0.721569f, 0.737255f, 0.754902f,
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0.772549f, 0.788235f, 0.803922f, 0.819608f, 0.835294f, 0.850980f, 0.866667f, 0.882353f, 0.898039f, 0.913725f, 0.929412f, 0.945098f, 0.960784f, 0.976471f, 0.992157f, 1.0f
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};
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/*void init_tables() {
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for (int i = 0; i < 31; i++) {
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float f0 = float(((i+0) << 3) | ((i+0) >> 2)) / 255.0f;
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float f1 = float(((i+1) << 3) | ((i+1) >> 2)) / 255.0f;
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midpoints5[i] = (f0 + f1) * 0.5;
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}
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midpoints5[31] = 1.0f;
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for (int i = 0; i < 63; i++) {
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float f0 = float(((i+0) << 2) | ((i+0) >> 4)) / 255.0f;
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float f1 = float(((i+1) << 2) | ((i+1) >> 4)) / 255.0f;
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midpoints6[i] = (f0 + f1) * 0.5;
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}
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midpoints6[63] = 1.0f;
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}*/
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static Color16 vector3_to_color16(const Vector3 & v) {
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// Truncate.
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uint r = ftoi_trunc(clamp(v.x * 31.0f, 0.0f, 31.0f));
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uint g = ftoi_trunc(clamp(v.y * 63.0f, 0.0f, 63.0f));
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uint b = ftoi_trunc(clamp(v.z * 31.0f, 0.0f, 31.0f));
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// Round exactly according to 565 bit-expansion.
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r += (v.x > midpoints5[r]);
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g += (v.y > midpoints6[g]);
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b += (v.z > midpoints5[b]);
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return Color16((r << 11) | (g << 5) | b);
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}
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static Color32 bitexpand_color16_to_color32(Color16 c16) {
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Color32 c32;
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//c32.b = (c16.b << 3) | (c16.b >> 2);
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//c32.g = (c16.g << 2) | (c16.g >> 4);
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//c32.r = (c16.r << 3) | (c16.r >> 2);
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//c32.a = 0xFF;
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c32.u = ((c16.u << 3) & 0xf8) | ((c16.u << 5) & 0xfc00) | ((c16.u << 8) & 0xf80000);
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c32.u |= (c32.u >> 5) & 0x070007;
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c32.u |= (c32.u >> 6) & 0x000300;
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return c32;
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}
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static Color32 bitexpand_color16_to_color32(int r, int g, int b) {
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Color32 c32;
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c32.b = (b << 3) | (b >> 2);
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c32.g = (g << 2) | (g >> 4);
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c32.r = (r << 3) | (r >> 2);
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c32.a = 0xFF;
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return c32;
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}
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static Color16 truncate_color32_to_color16(Color32 c32) {
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Color16 c16;
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c16.b = (c32.b >> 3);
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c16.g = (c32.g >> 2);
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c16.r = (c32.r >> 3);
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return c16;
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}
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inline Vector3 r5g6b5_to_vector3(int r, int g, int b)
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{
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Vector3 c;
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c.x = float((r << 3) | (r >> 2));
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c.y = float((g << 2) | (g >> 4));
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c.z = float((b << 3) | (b >> 2));
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return c;
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}
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inline Vector3 color_to_vector3(Color32 c)
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{
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const float scale = 1.0f / 255.0f;
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return Vector3(c.r * scale, c.g * scale, c.b * scale);
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}
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inline Color32 vector3_to_color(Vector3 v)
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{
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Color32 color;
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color.r = U8(ftoi_round(saturate(v.x) * 255));
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color.g = U8(ftoi_round(saturate(v.y) * 255));
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color.b = U8(ftoi_round(saturate(v.z) * 255));
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color.a = 255;
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return color;
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}
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///////////////////////////////////////////////////////////////////////////////////////////////////
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// Input block processing.
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inline static void color_block_to_vector_block(const ColorBlock & rgba, Vector3 block[16])
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{
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for (int i = 0; i < 16; i++)
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{
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const Color32 c = rgba.color(i);
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block[i] = Vector3(c.r, c.g, c.b);
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}
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}
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// Find first valid color.
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static bool find_valid_color_rgb(const Vector3 * colors, const float * weights, int count, Vector3 * valid_color)
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{
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for (int i = 0; i < count; i++) {
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if (weights[i] > 0.0f) {
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*valid_color = colors[i];
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return true;
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}
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}
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// No valid colors.
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return false;
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}
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static bool is_single_color_rgb(const Vector3 * colors, const float * weights, int count, Vector3 color)
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{
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for (int i = 0; i < count; i++) {
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if (weights[i] > 0.0f) {
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if (colors[i] != color) return false;
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}
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}
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return true;
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}
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// Find similar colors and combine them together.
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static int reduce_colors(const Vector3 * input_colors, const float * input_weights, Vector3 * colors, float * weights)
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{
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int n = 0;
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for (int i = 0; i < 16; i++)
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{
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Vector3 ci = input_colors[i];
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float wi = input_weights[i];
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if (wi > 0) {
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// Find matching color.
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int j;
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for (j = 0; j < n; j++) {
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if (equal(colors[j].x, ci.x) && equal(colors[j].y, ci.y) && equal(colors[j].z, ci.z)) {
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weights[j] += wi;
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break;
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}
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}
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// No match found. Add new color.
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if (j == n) {
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colors[n] = ci;
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weights[n] = wi;
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n++;
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}
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}
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}
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nvDebugCheck(n <= 16);
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return n;
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}
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///////////////////////////////////////////////////////////////////////////////////////////////////
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// Error evaluation.
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// Different ways of estimating the error.
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/*static float evaluate_mse(const Vector3 & p, const Vector3 & c) {
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//return (square(p.x-c.x) * w2.x + square(p.y-c.y) * w2.y + square(p.z-c.z) * w2.z);
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Vector3 d = (p - c);
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return dot(d, d);
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}*/
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static float evaluate_mse(const Vector3 & p, const Vector3 & c, const Vector3 & w) {
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//return (square(p.x-c.x) * w2.x + square(p.y-c.y) * w2.y + square(p.z-c.z) * w2.z);
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Vector3 d = (p - c) * w;
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return dot(d, d);
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}
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/*static float evaluate_mse(const Vector3 & p, const Vector3 & c, const Vector3 & w) {
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return ww.x * square(p.x-c.x) + ww.y * square(p.y-c.y) + ww.z * square(p.z-c.z);
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}*/
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static int evaluate_mse(const Color32 & p, const Color32 & c) {
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return (square(int(p.r)-c.r) + square(int(p.g)-c.g) + square(int(p.b)-c.b));
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}
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static float evaluate_mse(const Vector3 palette[4], const Vector3 & c, const Vector3 & w) {
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float e0 = evaluate_mse(palette[0], c, w);
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float e1 = evaluate_mse(palette[1], c, w);
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float e2 = evaluate_mse(palette[2], c, w);
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float e3 = evaluate_mse(palette[3], c, w);
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return min(min(e0, e1), min(e2, e3));
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}
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static int evaluate_mse(const Color32 palette[4], const Color32 & c) {
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int e0 = evaluate_mse(palette[0], c);
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int e1 = evaluate_mse(palette[1], c);
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int e2 = evaluate_mse(palette[2], c);
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int e3 = evaluate_mse(palette[3], c);
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return min(min(e0, e1), min(e2, e3));
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}
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// Returns MSE error in [0-255] range.
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static int evaluate_mse(const BlockDXT1 * output, Color32 color, int index) {
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Color32 palette[4];
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output->evaluatePalette(palette, /*d3d9=*/false);
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return evaluate_mse(palette[index], color);
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}
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// Returns weighted MSE error in [0-255] range.
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static float evaluate_palette_error(Color32 palette[4], const Color32 * colors, const float * weights, int count) {
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float total = 0.0f;
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for (int i = 0; i < count; i++) {
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total += weights[i] * evaluate_mse(palette, colors[i]);
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}
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return total;
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}
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#if 0
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static float evaluate_mse(const BlockDXT1 * output, const Vector3 colors[16]) {
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Color32 palette[4];
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output->evaluatePalette(palette, /*d3d9=*/false);
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// convert palette to float.
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Vector3 vector_palette[4];
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for (int i = 0; i < 4; i++) {
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vector_palette[i] = color_to_vector3(palette[i]);
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}
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// evaluate error for each index.
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float error = 0.0f;
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for (int i = 0; i < 16; i++) {
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int index = (output->indices >> (2*i)) & 3; // @@ Is this the right order?
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error += evaluate_mse(vector_palette[index], colors[i]);
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}
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return error;
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}
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#endif
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static float evaluate_mse(const Vector3 colors[16], const float weights[16], const Vector3 & color_weights, const BlockDXT1 * output) {
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Color32 palette[4];
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output->evaluatePalette(palette, /*d3d9=*/false);
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// convert palette to float.
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Vector3 vector_palette[4];
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for (int i = 0; i < 4; i++) {
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vector_palette[i] = color_to_vector3(palette[i]);
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}
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// evaluate error for each index.
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float error = 0.0f;
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for (int i = 0; i < 16; i++) {
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int index = (output->indices >> (2 * i)) & 3;
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error += weights[i] * evaluate_mse(vector_palette[index], colors[i], color_weights);
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}
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return error;
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}
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///////////////////////////////////////////////////////////////////////////////////////////////////
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// Palette evaluation.
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static void evaluate_palette4(Color32 palette[4]) {
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palette[2].r = (2 * palette[0].r + palette[1].r) / 3;
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palette[2].g = (2 * palette[0].g + palette[1].g) / 3;
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palette[2].b = (2 * palette[0].b + palette[1].b) / 3;
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palette[3].r = (2 * palette[1].r + palette[0].r) / 3;
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palette[3].g = (2 * palette[1].g + palette[0].g) / 3;
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palette[3].b = (2 * palette[1].b + palette[0].b) / 3;
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}
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static void evaluate_palette3(Color32 palette[4]) {
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palette[2].r = (palette[0].r + palette[1].r) / 2;
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palette[2].g = (palette[0].g + palette[1].g) / 2;
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palette[2].b = (palette[0].b + palette[1].b) / 2;
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palette[3].r = 0;
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palette[3].g = 0;
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palette[3].b = 0;
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}
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static void evaluate_palette(Color16 c0, Color16 c1, Color32 palette[4]) {
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palette[0] = bitexpand_color16_to_color32(c0);
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palette[1] = bitexpand_color16_to_color32(c1);
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if (c0.u > c1.u) {
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evaluate_palette4(palette);
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}
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else {
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evaluate_palette3(palette);
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}
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}
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static void evaluate_palette(Color16 c0, Color16 c1, Vector3 palette[4]) {
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Color32 palette32[4];
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evaluate_palette(c0, c1, palette32);
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for (int i = 0; i < 4; i++) {
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palette[i] = color_to_vector3(palette32[i]);
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}
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}
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static void evaluate_palette3(Color16 c0, Color16 c1, Vector3 palette[4]) {
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nvDebugCheck(c0.u > c1.u);
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Color32 palette32[4];
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evaluate_palette(c0, c1, palette32);
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for (int i = 0; i < 4; i++) {
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palette[i] = color_to_vector3(palette32[i]);
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}
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}
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static uint compute_indices4(const Vector3 input_colors[16], const Vector3 & color_weights, const Vector3 palette[4]) {
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uint indices = 0;
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for (int i = 0; i < 16; i++) {
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float d0 = evaluate_mse(palette[0], input_colors[i], color_weights);
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float d1 = evaluate_mse(palette[1], input_colors[i], color_weights);
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float d2 = evaluate_mse(palette[2], input_colors[i], color_weights);
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float d3 = evaluate_mse(palette[3], input_colors[i], color_weights);
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uint b0 = d0 > d3;
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uint b1 = d1 > d2;
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uint b2 = d0 > d2;
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uint b3 = d1 > d3;
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uint b4 = d2 > d3;
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uint x0 = b1 & b2;
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uint x1 = b0 & b3;
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uint x2 = b0 & b4;
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indices |= (x2 | ((x0 | x1) << 1)) << (2 * i);
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}
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return indices;
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}
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static uint compute_indices(const Vector3 input_colors[16], const Vector3 & color_weights, const Vector3 palette[4]) {
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uint indices = 0;
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for (int i = 0; i < 16; i++) {
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float d0 = evaluate_mse(palette[0], input_colors[i], color_weights);
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float d1 = evaluate_mse(palette[1], input_colors[i], color_weights);
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float d2 = evaluate_mse(palette[2], input_colors[i], color_weights);
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float d3 = evaluate_mse(palette[3], input_colors[i], color_weights);
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uint index;
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if (d0 < d1 && d0 < d2 && d0 < d3) index = 0;
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else if (d1 < d2 && d1 < d3) index = 1;
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else if (d2 < d3) index = 2;
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else index = 3;
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indices |= index << (2 * i);
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}
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return indices;
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}
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static void output_block3(const Vector3 input_colors[16], const Vector3 & color_weights, const Vector3 & v0, const Vector3 & v1, BlockDXT1 * block)
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{
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Color16 color0 = vector3_to_color16(v0);
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Color16 color1 = vector3_to_color16(v1);
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if (color0.u > color1.u) {
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swap(color0, color1);
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}
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Vector3 palette[4];
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evaluate_palette(color0, color1, palette);
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block->col0 = color0;
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block->col1 = color1;
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block->indices = compute_indices(input_colors, color_weights, palette);
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}
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static void output_block4(const Vector3 input_colors[16], const Vector3 & color_weights, const Vector3 & v0, const Vector3 & v1, BlockDXT1 * block)
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{
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Color16 color0 = vector3_to_color16(v0);
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Color16 color1 = vector3_to_color16(v1);
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if (color0.u < color1.u) {
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swap(color0, color1);
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}
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Vector3 palette[4];
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evaluate_palette(color0, color1, palette);
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block->col0 = color0;
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block->col1 = color1;
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block->indices = compute_indices4(input_colors, color_weights, palette);
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}
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// Single color compressor, based on:
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// https://mollyrocket.com/forums/viewtopic.php?t=392
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static void compress_dxt1_single_color_optimal(Color32 c, BlockDXT1 * output)
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{
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output->col0.r = OMatch5[c.r][0];
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output->col0.g = OMatch6[c.g][0];
|
|
output->col0.b = OMatch5[c.b][0];
|
|
output->col1.r = OMatch5[c.r][1];
|
|
output->col1.g = OMatch6[c.g][1];
|
|
output->col1.b = OMatch5[c.b][1];
|
|
output->indices = 0xaaaaaaaa;
|
|
|
|
if (output->col0.u < output->col1.u)
|
|
{
|
|
swap(output->col0.u, output->col1.u);
|
|
output->indices ^= 0x55555555;
|
|
}
|
|
}
|
|
|
|
|
|
float nv::compress_dxt1_single_color_optimal(Color32 c, BlockDXT1 * output)
|
|
{
|
|
::compress_dxt1_single_color_optimal(c, output);
|
|
|
|
// Multiply by 16^2, the weight associated to a single color.
|
|
// Divide by 255*255 to covert error to [0-1] range.
|
|
return (256.0f / (255*255)) * evaluate_mse(output, c, output->indices & 3);
|
|
}
|
|
|
|
|
|
float nv::compress_dxt1_single_color_optimal(const Vector3 & color, BlockDXT1 * output)
|
|
{
|
|
return compress_dxt1_single_color_optimal(vector3_to_color(color), output);
|
|
}
|
|
|
|
|
|
// Compress block using the average color.
|
|
float nv::compress_dxt1_single_color(const Vector3 * colors, const float * weights, int count, const Vector3 & color_weights, BlockDXT1 * output)
|
|
{
|
|
// Compute block average.
|
|
Vector3 color_sum(0);
|
|
float weight_sum = 0;
|
|
|
|
for (int i = 0; i < count; i++) {
|
|
color_sum += colors[i] * weights[i];
|
|
weight_sum += weights[i];
|
|
}
|
|
|
|
// Compress optimally.
|
|
::compress_dxt1_single_color_optimal(vector3_to_color(color_sum / weight_sum), output);
|
|
|
|
// Decompress block color.
|
|
Color32 palette[4];
|
|
output->evaluatePalette(palette, /*d3d9=*/false);
|
|
|
|
Vector3 block_color = color_to_vector3(palette[output->indices & 0x3]);
|
|
|
|
// Evaluate error.
|
|
float error = 0;
|
|
for (int i = 0; i < count; i++) {
|
|
error += weights[i] * evaluate_mse(block_color, colors[i], color_weights);
|
|
}
|
|
return error;
|
|
}
|
|
|
|
|
|
/* @@ Not implemented yet.
|
|
// Low quality baseline compressor.
|
|
float nv::compress_dxt1_least_squares_fit(const Vector3 * input_colors, const Vector3 * colors, const float * weights, int count, BlockDXT1 * output)
|
|
{
|
|
// @@ Iterative best end point fit.
|
|
|
|
return FLT_MAX;
|
|
}*/
|
|
|
|
|
|
float nv::compress_dxt1_bounding_box_exhaustive(const Vector3 input_colors[16], const Vector3 * colors, const float * weights, int count, const Vector3 & color_weights, int max_volume, BlockDXT1 * output)
|
|
{
|
|
// Compute bounding box.
|
|
Vector3 min_color(1.0f);
|
|
Vector3 max_color(0.0f);
|
|
|
|
for (int i = 0; i < count; i++) {
|
|
min_color = min(min_color, colors[i]);
|
|
max_color = max(max_color, colors[i]);
|
|
}
|
|
|
|
// Convert to 5:6:5
|
|
int min_r = ftoi_floor(31 * min_color.x);
|
|
int min_g = ftoi_floor(63 * min_color.y);
|
|
int min_b = ftoi_floor(31 * min_color.z);
|
|
int max_r = ftoi_ceil(31 * max_color.x);
|
|
int max_g = ftoi_ceil(63 * max_color.y);
|
|
int max_b = ftoi_ceil(31 * max_color.z);
|
|
|
|
// Expand the box.
|
|
int range_r = max_r - min_r;
|
|
int range_g = max_g - min_g;
|
|
int range_b = max_b - min_b;
|
|
|
|
min_r = max(0, min_r - range_r / 2 - 2);
|
|
min_g = max(0, min_g - range_g / 2 - 2);
|
|
min_b = max(0, min_b - range_b / 2 - 2);
|
|
|
|
max_r = min(31, max_r + range_r / 2 + 2);
|
|
max_g = min(63, max_g + range_g / 2 + 2);
|
|
max_b = min(31, max_b + range_b / 2 + 2);
|
|
|
|
// Estimate size of search space.
|
|
int volume = (max_r-min_r+1) * (max_g-min_g+1) * (max_b-min_b+1);
|
|
|
|
// if size under search_limit, then proceed. Note that search_volume is sqrt of number of evaluations.
|
|
if (volume > max_volume) {
|
|
return FLT_MAX;
|
|
}
|
|
|
|
// @@ Convert to fixed point before building box?
|
|
Color32 colors32[16];
|
|
for (int i = 0; i < count; i++) {
|
|
colors32[i] = toColor32(Vector4(colors[i], 1));
|
|
}
|
|
|
|
float best_error = FLT_MAX;
|
|
Color16 best0, best1; // @@ Record endpoints as Color16?
|
|
|
|
Color16 c0, c1;
|
|
Color32 palette[4];
|
|
|
|
for(int r0 = min_r; r0 <= max_r; r0++)
|
|
for(int g0 = min_g; g0 <= max_g; g0++)
|
|
for(int b0 = min_b; b0 <= max_b; b0++)
|
|
{
|
|
c0.r = r0; c0.g = g0; c0.b = b0;
|
|
palette[0] = bitexpand_color16_to_color32(c0);
|
|
|
|
for(int r1 = min_r; r1 <= max_r; r1++)
|
|
for(int g1 = min_g; g1 <= max_g; g1++)
|
|
for(int b1 = min_b; b1 <= max_b; b1++)
|
|
{
|
|
c1.r = r1; c1.g = g1; c1.b = b1;
|
|
palette[1] = bitexpand_color16_to_color32(c1);
|
|
|
|
if (c0.u > c1.u) {
|
|
// Evaluate error in 4 color mode.
|
|
evaluate_palette4(palette);
|
|
}
|
|
else {
|
|
#if 1
|
|
// Evaluate error in 3 color mode.
|
|
evaluate_palette3(palette);
|
|
#else
|
|
// Skip 3 color mode.
|
|
continue;
|
|
#endif
|
|
}
|
|
|
|
float error = evaluate_palette_error(palette, colors32, weights, count);
|
|
|
|
if (error < best_error) {
|
|
best_error = error;
|
|
best0 = c0;
|
|
best1 = c1;
|
|
}
|
|
}
|
|
}
|
|
|
|
output->col0 = best0;
|
|
output->col1 = best1;
|
|
|
|
if (output->col0.u < output->col1.u) {
|
|
int k = 1;
|
|
}
|
|
|
|
Vector3 vector_palette[4];
|
|
evaluate_palette(output->col0, output->col1, vector_palette);
|
|
|
|
output->indices = compute_indices(input_colors, color_weights, vector_palette);
|
|
|
|
return best_error / (255 * 255);
|
|
}
|
|
|
|
|
|
void nv::compress_dxt1_cluster_fit(const Vector3 input_colors[16], const Vector3 * colors, const float * weights, int count, const Vector3 & color_weights, BlockDXT1 * output)
|
|
{
|
|
ClusterFit fit;
|
|
fit.setColorWeights(Vector4(color_weights, 1));
|
|
fit.setColorSet(colors, weights, count);
|
|
|
|
// start & end are in [0, 1] range.
|
|
Vector3 start, end;
|
|
fit.compress4(&start, &end);
|
|
|
|
if (fit.compress3(&start, &end)) {
|
|
output_block3(input_colors, color_weights, start, end, output);
|
|
}
|
|
else {
|
|
output_block4(input_colors, color_weights, start, end, output);
|
|
}
|
|
}
|
|
|
|
|
|
|
|
|
|
float nv::compress_dxt1(const Vector3 input_colors[16], const float input_weights[16], const Vector3 & color_weights, BlockDXT1 * output)
|
|
{
|
|
Vector3 colors[16];
|
|
float weights[16];
|
|
int count = reduce_colors(input_colors, input_weights, colors, weights);
|
|
|
|
if (count == 0) {
|
|
// Output trivial block.
|
|
output->col0.u = 0;
|
|
output->col1.u = 0;
|
|
output->indices = 0;
|
|
return 0;
|
|
}
|
|
|
|
|
|
float error = FLT_MAX;
|
|
|
|
// Sometimes the single color compressor produces better results than the exhaustive. This introduces discontinuities between blocks that
|
|
// use different compressors. For this reason, this is not enabled by default.
|
|
if (1) {
|
|
error = compress_dxt1_single_color(colors, weights, count, color_weights, output);
|
|
|
|
if (error == 0.0f || count == 1) {
|
|
// Early out.
|
|
return error;
|
|
}
|
|
}
|
|
|
|
// This is too expensive, even with a low threshold.
|
|
// If high quality:
|
|
if (0) {
|
|
BlockDXT1 exhaustive_output;
|
|
float exhaustive_error = compress_dxt1_bounding_box_exhaustive(input_colors, colors, weights, count, color_weights, 400, &exhaustive_output);
|
|
|
|
if (exhaustive_error != FLT_MAX) {
|
|
float exhaustive_error2 = evaluate_mse(input_colors, input_weights, color_weights, &exhaustive_output);
|
|
|
|
// The exhaustive compressor does not use color_weights, so the results may be different.
|
|
//nvCheck(equal(exhaustive_error, exhaustive_error2));
|
|
|
|
if (exhaustive_error2 < error) {
|
|
*output = exhaustive_output;
|
|
error = exhaustive_error;
|
|
}
|
|
}
|
|
}
|
|
|
|
// @@ TODO.
|
|
// This is pretty fast and in some cases can produces better quality than cluster fit.
|
|
//error = compress_dxt1_least_squares_fit(colors, weigths, error, output);
|
|
|
|
// Cluster fit cannot handle single color blocks, so encode them optimally if we haven't encoded them already.
|
|
if (error == FLT_MAX && count == 1) {
|
|
error = compress_dxt1_single_color_optimal(colors[0], output);
|
|
}
|
|
|
|
if (count > 1) {
|
|
BlockDXT1 cluster_fit_output;
|
|
compress_dxt1_cluster_fit(input_colors, colors, weights, count, color_weights, &cluster_fit_output);
|
|
|
|
float cluster_fit_error = evaluate_mse(input_colors, input_weights, color_weights, &cluster_fit_output);
|
|
|
|
if (cluster_fit_error < error) {
|
|
*output = cluster_fit_output;
|
|
error = cluster_fit_error;
|
|
}
|
|
}
|
|
|
|
return error;
|
|
}
|