mirror of
https://github.com/hrydgard/ppsspp.git
synced 2024-11-27 15:30:35 +00:00
621 lines
23 KiB
C++
621 lines
23 KiB
C++
// Copyright (c) 2012- PPSSPP Project.
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// This program is free software: you can redistribute it and/or modify
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// it under the terms of the GNU General Public License as published by
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// the Free Software Foundation, version 2.0 or later versions.
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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
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// GNU General Public License 2.0 for more details.
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// A copy of the GPL 2.0 should have been included with the program.
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// If not, see http://www.gnu.org/licenses/
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// Official git repository and contact information can be found at
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// https://github.com/hrydgard/ppsspp and http://www.ppsspp.org/.
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#if _MSC_VER == 1700
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// Has to be included before TextureScaler.h, else we get those std::bind errors in VS2012..
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#include "../native/base/basictypes.h"
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#endif
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#include <algorithm>
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#include <cstdlib>
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#include <cmath>
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#include "GPU/Common/TextureScalerCommon.h"
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#include "Core/Config.h"
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#include "Common/Common.h"
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#include "Common/Log.h"
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#include "Common/MsgHandler.h"
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#include "Common/CommonFuncs.h"
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#include "Common/ThreadPools.h"
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#include "Common/CPUDetect.h"
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#include "ext/xbrz/xbrz.h"
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#if _M_SSE >= 0x401
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#include <smmintrin.h>
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#endif
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// Report the time and throughput for each larger scaling operation in the log
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//#define SCALING_MEASURE_TIME
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#ifdef SCALING_MEASURE_TIME
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#include "base/timeutil.h"
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#endif
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/////////////////////////////////////// Helper Functions (mostly math for parallelization)
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namespace {
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//////////////////////////////////////////////////////////////////// Various image processing
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#define R(_col) ((_col>> 0)&0xFF)
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#define G(_col) ((_col>> 8)&0xFF)
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#define B(_col) ((_col>>16)&0xFF)
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#define A(_col) ((_col>>24)&0xFF)
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#define DISTANCE(_p1,_p2) ( abs(static_cast<int>(static_cast<int>(R(_p1))-R(_p2))) + abs(static_cast<int>(static_cast<int>(G(_p1))-G(_p2))) \
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+ abs(static_cast<int>(static_cast<int>(B(_p1))-B(_p2))) + abs(static_cast<int>(static_cast<int>(A(_p1))-A(_p2))) )
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// this is sadly much faster than an inline function with a loop, at least in VC10
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#define MIX_PIXELS(_p0, _p1, _factors) \
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( (R(_p0)*(_factors)[0] + R(_p1)*(_factors)[1])/255 << 0 ) | \
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( (G(_p0)*(_factors)[0] + G(_p1)*(_factors)[1])/255 << 8 ) | \
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( (B(_p0)*(_factors)[0] + B(_p1)*(_factors)[1])/255 << 16 ) | \
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( (A(_p0)*(_factors)[0] + A(_p1)*(_factors)[1])/255 << 24 )
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#define BLOCK_SIZE 32
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// 3x3 convolution with Neumann boundary conditions, parallelizable
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// quite slow, could be sped up a lot
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// especially handling of separable kernels
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void convolve3x3(u32* data, u32* out, const int kernel[3][3], int width, int height, int l, int u) {
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for (int yb = 0; yb < (u - l) / BLOCK_SIZE + 1; ++yb) {
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for (int xb = 0; xb < width / BLOCK_SIZE + 1; ++xb) {
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for (int y = l + yb*BLOCK_SIZE; y < l + (yb + 1)*BLOCK_SIZE && y < u; ++y) {
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for (int x = xb*BLOCK_SIZE; x < (xb + 1)*BLOCK_SIZE && x < width; ++x) {
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int val = 0;
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for (int yoff = -1; yoff <= 1; ++yoff) {
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int yy = std::max(std::min(y + yoff, height - 1), 0);
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for (int xoff = -1; xoff <= 1; ++xoff) {
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int xx = std::max(std::min(x + xoff, width - 1), 0);
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val += data[yy*width + xx] * kernel[yoff + 1][xoff + 1];
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}
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}
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out[y*width + x] = abs(val);
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}
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}
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}
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}
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}
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// deposterization: smoothes posterized gradients from low-color-depth (e.g. 444, 565, compressed) sources
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void deposterizeH(u32* data, u32* out, int w, int l, int u) {
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static const int T = 8;
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for (int y = l; y < u; ++y) {
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for (int x = 0; x < w; ++x) {
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int inpos = y*w + x;
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u32 center = data[inpos];
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if (x == 0 || x == w - 1) {
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out[y*w + x] = center;
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continue;
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}
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u32 left = data[inpos - 1];
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u32 right = data[inpos + 1];
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out[y*w + x] = 0;
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for (int c = 0; c < 4; ++c) {
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u8 lc = ((left >> c * 8) & 0xFF);
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u8 cc = ((center >> c * 8) & 0xFF);
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u8 rc = ((right >> c * 8) & 0xFF);
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if ((lc != rc) && ((lc == cc && abs((int)((int)rc) - cc) <= T) || (rc == cc && abs((int)((int)lc) - cc) <= T))) {
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// blend this component
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out[y*w + x] |= ((rc + lc) / 2) << (c * 8);
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} else {
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// no change for this component
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out[y*w + x] |= cc << (c * 8);
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}
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}
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}
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}
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}
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void deposterizeV(u32* data, u32* out, int w, int h, int l, int u) {
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static const int T = 8;
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for (int xb = 0; xb < w / BLOCK_SIZE + 1; ++xb) {
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for (int y = l; y < u; ++y) {
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for (int x = xb*BLOCK_SIZE; x < (xb + 1)*BLOCK_SIZE && x < w; ++x) {
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u32 center = data[y * w + x];
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if (y == 0 || y == h - 1) {
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out[y*w + x] = center;
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continue;
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}
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u32 upper = data[(y - 1) * w + x];
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u32 lower = data[(y + 1) * w + x];
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out[y*w + x] = 0;
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for (int c = 0; c < 4; ++c) {
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u8 uc = ((upper >> c * 8) & 0xFF);
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u8 cc = ((center >> c * 8) & 0xFF);
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u8 lc = ((lower >> c * 8) & 0xFF);
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if ((uc != lc) && ((uc == cc && abs((int)((int)lc) - cc) <= T) || (lc == cc && abs((int)((int)uc) - cc) <= T))) {
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// blend this component
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out[y*w + x] |= ((lc + uc) / 2) << (c * 8);
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} else {
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// no change for this component
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out[y*w + x] |= cc << (c * 8);
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}
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}
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}
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}
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}
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}
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// generates a distance mask value for each pixel in data
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// higher values -> larger distance to the surrounding pixels
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void generateDistanceMask(u32* data, u32* out, int width, int height, int l, int u) {
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for (int yb = 0; yb < (u - l) / BLOCK_SIZE + 1; ++yb) {
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for (int xb = 0; xb < width / BLOCK_SIZE + 1; ++xb) {
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for (int y = l + yb*BLOCK_SIZE; y < l + (yb + 1)*BLOCK_SIZE && y < u; ++y) {
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for (int x = xb*BLOCK_SIZE; x < (xb + 1)*BLOCK_SIZE && x < width; ++x) {
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const u32 center = data[y*width + x];
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u32 dist = 0;
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for (int yoff = -1; yoff <= 1; ++yoff) {
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int yy = y + yoff;
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if (yy == height || yy == -1) {
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dist += 1200; // assume distance at borders, usually makes for better result
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continue;
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}
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for (int xoff = -1; xoff <= 1; ++xoff) {
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if (yoff == 0 && xoff == 0) continue;
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int xx = x + xoff;
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if (xx == width || xx == -1) {
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dist += 400; // assume distance at borders, usually makes for better result
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continue;
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}
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dist += DISTANCE(data[yy*width + xx], center);
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}
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}
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out[y*width + x] = dist;
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}
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}
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}
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}
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}
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// mix two images based on a mask
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void mix(u32* data, u32* source, u32* mask, u32 maskmax, int width, int l, int u) {
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for (int y = l; y < u; ++y) {
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for (int x = 0; x < width; ++x) {
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int pos = y*width + x;
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u8 mixFactors[2] = { 0, static_cast<u8>((std::min(mask[pos], maskmax) * 255) / maskmax) };
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mixFactors[0] = 255 - mixFactors[1];
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data[pos] = MIX_PIXELS(data[pos], source[pos], mixFactors);
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if (A(source[pos]) == 0) data[pos] = data[pos] & 0x00FFFFFF; // xBRZ always does a better job with hard alpha
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}
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}
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}
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//////////////////////////////////////////////////////////////////// Bicubic scaling
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// generate the value of a Mitchell-Netravali scaling spline at distance d, with parameters A and B
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// B=1 C=0 : cubic B spline (very smooth)
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// B=C=1/3 : recommended for general upscaling
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// B=0 C=1/2 : Catmull-Rom spline (sharp, ringing)
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// see Mitchell & Netravali, "Reconstruction Filters in Computer Graphics"
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inline float mitchell(float x, float B, float C) {
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float ax = fabs(x);
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if (ax >= 2.0f) return 0.0f;
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if (ax >= 1.0f) return ((-B - 6 * C)*(x*x*x) + (6 * B + 30 * C)*(x*x) + (-12 * B - 48 * C)*x + (8 * B + 24 * C)) / 6.0f;
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return ((12 - 9 * B - 6 * C)*(x*x*x) + (-18 + 12 * B + 6 * C)*(x*x) + (6 - 2 * B)) / 6.0f;
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}
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// arrays for pre-calculating weights and sums (~20KB)
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// Dimensions:
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// 0: 0 = BSpline, 1 = mitchell
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// 2: 2-5x scaling
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// 2,3: 5x5 generated pixels
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// 4,5: 5x5 pixels sampled from
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float bicubicWeights[2][4][5][5][5][5];
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float bicubicInvSums[2][4][5][5];
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// initialize pre-computed weights array
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void initBicubicWeights() {
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float B[2] = { 1.0f, 0.334f };
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float C[2] = { 0.0f, 0.334f };
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for (int type = 0; type < 2; ++type) {
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for (int factor = 2; factor <= 5; ++factor) {
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for (int x = 0; x < factor; ++x) {
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for (int y = 0; y < factor; ++y) {
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float sum = 0.0f;
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for (int sx = -2; sx <= 2; ++sx) {
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for (int sy = -2; sy <= 2; ++sy) {
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float dx = (x + 0.5f) / factor - (sx + 0.5f);
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float dy = (y + 0.5f) / factor - (sy + 0.5f);
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float dist = sqrt(dx*dx + dy*dy);
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float weight = mitchell(dist, B[type], C[type]);
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bicubicWeights[type][factor - 2][x][y][sx + 2][sy + 2] = weight;
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sum += weight;
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}
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}
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bicubicInvSums[type][factor - 2][x][y] = 1.0f / sum;
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}
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}
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}
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}
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}
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// perform bicubic scaling by factor f, with precomputed spline type T
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template<int f, int T>
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void scaleBicubicT(u32* data, u32* out, int w, int h, int l, int u) {
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int outw = w*f;
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for (int yb = 0; yb < (u - l)*f / BLOCK_SIZE + 1; ++yb) {
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for (int xb = 0; xb < w*f / BLOCK_SIZE + 1; ++xb) {
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for (int y = l*f + yb*BLOCK_SIZE; y < l*f + (yb + 1)*BLOCK_SIZE && y < u*f; ++y) {
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for (int x = xb*BLOCK_SIZE; x < (xb + 1)*BLOCK_SIZE && x < w*f; ++x) {
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float r = 0.0f, g = 0.0f, b = 0.0f, a = 0.0f;
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int cx = x / f, cy = y / f;
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// sample supporting pixels in original image
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for (int sx = -2; sx <= 2; ++sx) {
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for (int sy = -2; sy <= 2; ++sy) {
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float weight = bicubicWeights[T][f - 2][x%f][y%f][sx + 2][sy + 2];
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if (weight != 0.0f) {
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// clamp pixel locations
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int csy = std::max(std::min(sy + cy, h - 1), 0);
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int csx = std::max(std::min(sx + cx, w - 1), 0);
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// sample & add weighted components
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u32 sample = data[csy*w + csx];
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r += weight*R(sample);
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g += weight*G(sample);
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b += weight*B(sample);
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a += weight*A(sample);
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}
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}
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}
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// generate and write result
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float invSum = bicubicInvSums[T][f - 2][x%f][y%f];
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int ri = std::min(std::max(static_cast<int>(ceilf(r*invSum)), 0), 255);
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int gi = std::min(std::max(static_cast<int>(ceilf(g*invSum)), 0), 255);
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int bi = std::min(std::max(static_cast<int>(ceilf(b*invSum)), 0), 255);
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int ai = std::min(std::max(static_cast<int>(ceilf(a*invSum)), 0), 255);
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out[y*outw + x] = (ai << 24) | (bi << 16) | (gi << 8) | ri;
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}
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}
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}
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}
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}
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#if _M_SSE >= 0x401
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template<int f, int T>
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void scaleBicubicTSSE41(u32* data, u32* out, int w, int h, int l, int u) {
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int outw = w*f;
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for (int yb = 0; yb < (u - l)*f / BLOCK_SIZE + 1; ++yb) {
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for (int xb = 0; xb < w*f / BLOCK_SIZE + 1; ++xb) {
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for (int y = l*f + yb*BLOCK_SIZE; y < l*f + (yb + 1)*BLOCK_SIZE && y < u*f; ++y) {
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for (int x = xb*BLOCK_SIZE; x < (xb + 1)*BLOCK_SIZE && x < w*f; ++x) {
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__m128 result = _mm_set1_ps(0.0f);
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int cx = x / f, cy = y / f;
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// sample supporting pixels in original image
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for (int sx = -2; sx <= 2; ++sx) {
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for (int sy = -2; sy <= 2; ++sy) {
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float weight = bicubicWeights[T][f - 2][x%f][y%f][sx + 2][sy + 2];
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if (weight != 0.0f) {
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// clamp pixel locations
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int csy = std::max(std::min(sy + cy, h - 1), 0);
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int csx = std::max(std::min(sx + cx, w - 1), 0);
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// sample & add weighted components
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__m128i sample = _mm_cvtsi32_si128(data[csy*w + csx]);
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sample = _mm_cvtepu8_epi32(sample);
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__m128 col = _mm_cvtepi32_ps(sample);
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col = _mm_mul_ps(col, _mm_set1_ps(weight));
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result = _mm_add_ps(result, col);
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}
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}
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}
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// generate and write result
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__m128i pixel = _mm_cvtps_epi32(_mm_mul_ps(result, _mm_set1_ps(bicubicInvSums[T][f - 2][x%f][y%f])));
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pixel = _mm_packs_epi32(pixel, pixel);
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pixel = _mm_packus_epi16(pixel, pixel);
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out[y*outw + x] = _mm_cvtsi128_si32(pixel);
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}
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}
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}
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}
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}
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#endif
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void scaleBicubicBSpline(int factor, u32* data, u32* out, int w, int h, int l, int u) {
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#if _M_SSE >= 0x401
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if (cpu_info.bSSE4_1) {
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switch (factor) {
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case 2: scaleBicubicTSSE41<2, 0>(data, out, w, h, l, u); break; // when I first tested this,
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case 3: scaleBicubicTSSE41<3, 0>(data, out, w, h, l, u); break; // it was even slower than I had expected
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case 4: scaleBicubicTSSE41<4, 0>(data, out, w, h, l, u); break; // turns out I had not included
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case 5: scaleBicubicTSSE41<5, 0>(data, out, w, h, l, u); break; // any of these break statements
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default: ERROR_LOG(G3D, "Bicubic upsampling only implemented for factors 2 to 5");
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}
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} else {
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#endif
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switch (factor) {
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case 2: scaleBicubicT<2, 0>(data, out, w, h, l, u); break; // when I first tested this,
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case 3: scaleBicubicT<3, 0>(data, out, w, h, l, u); break; // it was even slower than I had expected
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case 4: scaleBicubicT<4, 0>(data, out, w, h, l, u); break; // turns out I had not included
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case 5: scaleBicubicT<5, 0>(data, out, w, h, l, u); break; // any of these break statements
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default: ERROR_LOG(G3D, "Bicubic upsampling only implemented for factors 2 to 5");
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}
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#if _M_SSE >= 0x401
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}
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#endif
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}
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void scaleBicubicMitchell(int factor, u32* data, u32* out, int w, int h, int l, int u) {
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#if _M_SSE >= 0x401
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if (cpu_info.bSSE4_1) {
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switch (factor) {
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case 2: scaleBicubicTSSE41<2, 1>(data, out, w, h, l, u); break;
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case 3: scaleBicubicTSSE41<3, 1>(data, out, w, h, l, u); break;
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case 4: scaleBicubicTSSE41<4, 1>(data, out, w, h, l, u); break;
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case 5: scaleBicubicTSSE41<5, 1>(data, out, w, h, l, u); break;
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default: ERROR_LOG(G3D, "Bicubic upsampling only implemented for factors 2 to 5");
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}
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} else {
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#endif
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switch (factor) {
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case 2: scaleBicubicT<2, 1>(data, out, w, h, l, u); break;
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case 3: scaleBicubicT<3, 1>(data, out, w, h, l, u); break;
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case 4: scaleBicubicT<4, 1>(data, out, w, h, l, u); break;
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case 5: scaleBicubicT<5, 1>(data, out, w, h, l, u); break;
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default: ERROR_LOG(G3D, "Bicubic upsampling only implemented for factors 2 to 5");
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}
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#if _M_SSE >= 0x401
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}
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#endif
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}
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//////////////////////////////////////////////////////////////////// Bilinear scaling
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const static u8 BILINEAR_FACTORS[4][3][2] = {
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{ { 44, 211 }, { 0, 0 }, { 0, 0 } }, // x2
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{ { 64, 191 }, { 0, 255 }, { 0, 0 } }, // x3
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{ { 77, 178 }, { 26, 229 }, { 0, 0 } }, // x4
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{ { 102, 153 }, { 51, 204 }, { 0, 255 } }, // x5
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};
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// integral bilinear upscaling by factor f, horizontal part
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template<int f>
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void bilinearHt(u32* data, u32* out, int w, int l, int u) {
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static_assert(f > 1 && f <= 5, "Bilinear scaling only implemented for factors 2 to 5");
|
|
int outw = w*f;
|
|
for (int y = l; y < u; ++y) {
|
|
for (int x = 0; x < w; ++x) {
|
|
int inpos = y*w + x;
|
|
u32 left = data[inpos - (x == 0 ? 0 : 1)];
|
|
u32 center = data[inpos];
|
|
u32 right = data[inpos + (x == w - 1 ? 0 : 1)];
|
|
int i = 0;
|
|
for (; i < f / 2 + f % 2; ++i) { // first half of the new pixels + center, hope the compiler unrolls this
|
|
out[y*outw + x*f + i] = MIX_PIXELS(left, center, BILINEAR_FACTORS[f - 2][i]);
|
|
}
|
|
for (; i < f; ++i) { // second half of the new pixels, hope the compiler unrolls this
|
|
out[y*outw + x*f + i] = MIX_PIXELS(right, center, BILINEAR_FACTORS[f - 2][f - 1 - i]);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
void bilinearH(int factor, u32* data, u32* out, int w, int l, int u) {
|
|
switch (factor) {
|
|
case 2: bilinearHt<2>(data, out, w, l, u); break;
|
|
case 3: bilinearHt<3>(data, out, w, l, u); break;
|
|
case 4: bilinearHt<4>(data, out, w, l, u); break;
|
|
case 5: bilinearHt<5>(data, out, w, l, u); break;
|
|
default: ERROR_LOG(G3D, "Bilinear upsampling only implemented for factors 2 to 5");
|
|
}
|
|
}
|
|
// integral bilinear upscaling by factor f, vertical part
|
|
// gl/gu == global lower and upper bound
|
|
template<int f>
|
|
void bilinearVt(u32* data, u32* out, int w, int gl, int gu, int l, int u) {
|
|
static_assert(f>1 && f <= 5, "Bilinear scaling only implemented for 2x, 3x, 4x, and 5x");
|
|
int outw = w*f;
|
|
for (int xb = 0; xb < outw / BLOCK_SIZE + 1; ++xb) {
|
|
for (int y = l; y < u; ++y) {
|
|
u32 uy = y - (y == gl ? 0 : 1);
|
|
u32 ly = y + (y == gu - 1 ? 0 : 1);
|
|
for (int x = xb*BLOCK_SIZE; x < (xb + 1)*BLOCK_SIZE && x < outw; ++x) {
|
|
u32 upper = data[uy * outw + x];
|
|
u32 center = data[y * outw + x];
|
|
u32 lower = data[ly * outw + x];
|
|
int i = 0;
|
|
for (; i < f / 2 + f % 2; ++i) { // first half of the new pixels + center, hope the compiler unrolls this
|
|
out[(y*f + i)*outw + x] = MIX_PIXELS(upper, center, BILINEAR_FACTORS[f - 2][i]);
|
|
}
|
|
for (; i < f; ++i) { // second half of the new pixels, hope the compiler unrolls this
|
|
out[(y*f + i)*outw + x] = MIX_PIXELS(lower, center, BILINEAR_FACTORS[f - 2][f - 1 - i]);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
void bilinearV(int factor, u32* data, u32* out, int w, int gl, int gu, int l, int u) {
|
|
switch (factor) {
|
|
case 2: bilinearVt<2>(data, out, w, gl, gu, l, u); break;
|
|
case 3: bilinearVt<3>(data, out, w, gl, gu, l, u); break;
|
|
case 4: bilinearVt<4>(data, out, w, gl, gu, l, u); break;
|
|
case 5: bilinearVt<5>(data, out, w, gl, gu, l, u); break;
|
|
default: ERROR_LOG(G3D, "Bilinear upsampling only implemented for factors 2 to 5");
|
|
}
|
|
}
|
|
|
|
#undef BLOCK_SIZE
|
|
#undef MIX_PIXELS
|
|
#undef DISTANCE
|
|
#undef R
|
|
#undef G
|
|
#undef B
|
|
#undef A
|
|
|
|
// used for debugging texture scaling (writing textures to files)
|
|
static int g_imgCount = 0;
|
|
void dbgPPM(int w, int h, u8* pixels, const char* prefix = "dbg") { // 3 component RGB
|
|
char fn[32];
|
|
snprintf(fn, 32, "%s%04d.ppm", prefix, g_imgCount++);
|
|
FILE *fp = fopen(fn, "wb");
|
|
fprintf(fp, "P6\n%d %d\n255\n", w, h);
|
|
for (int j = 0; j < h; ++j) {
|
|
for (int i = 0; i < w; ++i) {
|
|
static unsigned char color[3];
|
|
color[0] = pixels[(j*w + i) * 4 + 0]; /* red */
|
|
color[1] = pixels[(j*w + i) * 4 + 1]; /* green */
|
|
color[2] = pixels[(j*w + i) * 4 + 2]; /* blue */
|
|
fwrite(color, 1, 3, fp);
|
|
}
|
|
}
|
|
fclose(fp);
|
|
}
|
|
void dbgPGM(int w, int h, u32* pixels, const char* prefix = "dbg") { // 1 component
|
|
char fn[32];
|
|
snprintf(fn, 32, "%s%04d.pgm", prefix, g_imgCount++);
|
|
FILE *fp = fopen(fn, "wb");
|
|
fprintf(fp, "P5\n%d %d\n65536\n", w, h);
|
|
for (int j = 0; j < h; ++j) {
|
|
for (int i = 0; i < w; ++i) {
|
|
fwrite((pixels + (j*w + i)), 1, 2, fp);
|
|
}
|
|
}
|
|
fclose(fp);
|
|
}
|
|
}
|
|
|
|
/////////////////////////////////////// Texture Scaler
|
|
|
|
TextureScaler::TextureScaler() {
|
|
initBicubicWeights();
|
|
}
|
|
|
|
TextureScaler::~TextureScaler() {
|
|
}
|
|
|
|
bool TextureScaler::IsEmptyOrFlat(u32* data, int pixels, int fmt) {
|
|
int pixelsPerWord = 4 / BytesPerPixel(fmt);
|
|
u32 ref = data[0];
|
|
for (int i = 0; i < pixels / pixelsPerWord; ++i) {
|
|
if (data[i] != ref) return false;
|
|
}
|
|
return true;
|
|
}
|
|
|
|
void TextureScaler::Scale(u32* &data, u32 &dstFmt, int &width, int &height, int factor) {
|
|
// prevent processing empty or flat textures (this happens a lot in some games)
|
|
// doesn't hurt the standard case, will be very quick for textures with actual texture
|
|
if (IsEmptyOrFlat(data, width*height, dstFmt)) {
|
|
INFO_LOG(G3D, "TextureScaler: early exit -- empty/flat texture");
|
|
return;
|
|
}
|
|
|
|
#ifdef SCALING_MEASURE_TIME
|
|
double t_start = real_time_now();
|
|
#endif
|
|
|
|
bufInput.resize(width*height); // used to store the input image image if it needs to be reformatted
|
|
bufOutput.resize(width*height*factor*factor); // used to store the upscaled image
|
|
u32 *inputBuf = bufInput.data();
|
|
u32 *outputBuf = bufOutput.data();
|
|
|
|
// convert texture to correct format for scaling
|
|
ConvertTo8888(dstFmt, data, inputBuf, width, height);
|
|
|
|
// deposterize
|
|
if (g_Config.bTexDeposterize) {
|
|
bufDeposter.resize(width*height);
|
|
DePosterize(inputBuf, bufDeposter.data(), width, height);
|
|
inputBuf = bufDeposter.data();
|
|
}
|
|
|
|
// scale
|
|
switch (g_Config.iTexScalingType) {
|
|
case XBRZ:
|
|
ScaleXBRZ(factor, inputBuf, outputBuf, width, height);
|
|
break;
|
|
case HYBRID:
|
|
ScaleHybrid(factor, inputBuf, outputBuf, width, height);
|
|
break;
|
|
case BICUBIC:
|
|
ScaleBicubicMitchell(factor, inputBuf, outputBuf, width, height);
|
|
break;
|
|
case HYBRID_BICUBIC:
|
|
ScaleHybrid(factor, inputBuf, outputBuf, width, height, true);
|
|
break;
|
|
default:
|
|
ERROR_LOG(G3D, "Unknown scaling type: %d", g_Config.iTexScalingType);
|
|
}
|
|
|
|
// update values accordingly
|
|
dstFmt = Get8888Format();
|
|
data = outputBuf;
|
|
width *= factor;
|
|
height *= factor;
|
|
|
|
#ifdef SCALING_MEASURE_TIME
|
|
if (width*height > 64 * 64 * factor*factor) {
|
|
double t = real_time_now() - t_start;
|
|
NOTICE_LOG(MASTER_LOG, "TextureScaler: processed %9d pixels in %6.5lf seconds. (%9.2lf Mpixels/second)",
|
|
width*height, t, (width*height) / (t * 1000 * 1000));
|
|
}
|
|
#endif
|
|
}
|
|
|
|
void TextureScaler::ScaleXBRZ(int factor, u32* source, u32* dest, int width, int height) {
|
|
xbrz::ScalerCfg cfg;
|
|
GlobalThreadPool::Loop(std::bind(&xbrz::scale, factor, source, dest, width, height, xbrz::ColorFormat::ARGB, cfg, placeholder::_1, placeholder::_2), 0, height);
|
|
}
|
|
|
|
void TextureScaler::ScaleBilinear(int factor, u32* source, u32* dest, int width, int height) {
|
|
bufTmp1.resize(width*height*factor);
|
|
u32 *tmpBuf = bufTmp1.data();
|
|
GlobalThreadPool::Loop(std::bind(&bilinearH, factor, source, tmpBuf, width, placeholder::_1, placeholder::_2), 0, height);
|
|
GlobalThreadPool::Loop(std::bind(&bilinearV, factor, tmpBuf, dest, width, 0, height, placeholder::_1, placeholder::_2), 0, height);
|
|
}
|
|
|
|
void TextureScaler::ScaleBicubicBSpline(int factor, u32* source, u32* dest, int width, int height) {
|
|
GlobalThreadPool::Loop(std::bind(&scaleBicubicBSpline, factor, source, dest, width, height, placeholder::_1, placeholder::_2), 0, height);
|
|
}
|
|
|
|
void TextureScaler::ScaleBicubicMitchell(int factor, u32* source, u32* dest, int width, int height) {
|
|
GlobalThreadPool::Loop(std::bind(&scaleBicubicMitchell, factor, source, dest, width, height, placeholder::_1, placeholder::_2), 0, height);
|
|
}
|
|
|
|
void TextureScaler::ScaleHybrid(int factor, u32* source, u32* dest, int width, int height, bool bicubic) {
|
|
// Basic algorithm:
|
|
// 1) determine a feature mask C based on a sobel-ish filter + splatting, and upscale that mask bilinearly
|
|
// 2) generate 2 scaled images: A - using Bilinear filtering, B - using xBRZ
|
|
// 3) output = A*C + B*(1-C)
|
|
|
|
const static int KERNEL_SPLAT[3][3] = {
|
|
{ 1, 1, 1 }, { 1, 1, 1 }, { 1, 1, 1 }
|
|
};
|
|
|
|
bufTmp1.resize(width*height);
|
|
bufTmp2.resize(width*height*factor*factor);
|
|
bufTmp3.resize(width*height*factor*factor);
|
|
GlobalThreadPool::Loop(std::bind(&generateDistanceMask, source, bufTmp1.data(), width, height, placeholder::_1, placeholder::_2), 0, height);
|
|
GlobalThreadPool::Loop(std::bind(&convolve3x3, bufTmp1.data(), bufTmp2.data(), KERNEL_SPLAT, width, height, placeholder::_1, placeholder::_2), 0, height);
|
|
ScaleBilinear(factor, bufTmp2.data(), bufTmp3.data(), width, height);
|
|
// mask C is now in bufTmp3
|
|
|
|
ScaleXBRZ(factor, source, bufTmp2.data(), width, height);
|
|
// xBRZ upscaled source is in bufTmp2
|
|
|
|
if (bicubic) ScaleBicubicBSpline(factor, source, dest, width, height);
|
|
else ScaleBilinear(factor, source, dest, width, height);
|
|
// Upscaled source is in dest
|
|
|
|
// Now we can mix it all together
|
|
// The factor 8192 was found through practical testing on a variety of textures
|
|
GlobalThreadPool::Loop(std::bind(&mix, dest, bufTmp2.data(), bufTmp3.data(), 8192, width*factor, placeholder::_1, placeholder::_2), 0, height*factor);
|
|
}
|
|
|
|
void TextureScaler::DePosterize(u32* source, u32* dest, int width, int height) {
|
|
bufTmp3.resize(width*height);
|
|
GlobalThreadPool::Loop(std::bind(&deposterizeH, source, bufTmp3.data(), width, placeholder::_1, placeholder::_2), 0, height);
|
|
GlobalThreadPool::Loop(std::bind(&deposterizeV, bufTmp3.data(), dest, width, height, placeholder::_1, placeholder::_2), 0, height);
|
|
GlobalThreadPool::Loop(std::bind(&deposterizeH, dest, bufTmp3.data(), width, placeholder::_1, placeholder::_2), 0, height);
|
|
GlobalThreadPool::Loop(std::bind(&deposterizeV, bufTmp3.data(), dest, width, height, placeholder::_1, placeholder::_2), 0, height);
|
|
}
|