mirror of
https://github.com/ultimatepp/ultimatepp.git
synced 2026-05-16 06:05:58 -06:00
257 lines
5.8 KiB
C++
257 lines
5.8 KiB
C++
#include "Draw.h"
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namespace Upp {
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#define LDUMP(x) // DUMP(x)
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static const int *sGetKernel(double (*kfn)(double x), int a, int shift)
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{
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INTERLOCKED {
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static VectorMap<Tuple3<uintptr_t, int, int>, Buffer<int> > kache;
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Tuple3<uintptr_t, int, int> key = MakeTuple((uintptr_t)kfn, a, shift);
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Buffer<int> *k = kache.FindPtr(key);
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if(k)
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return *k;
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Buffer<int>& ktab = kache.GetAdd(key);
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ktab.Alloc(((2 * a) << shift) + 1);
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for(int i = 0; i < ((2 * a) << shift) + 1; i++)
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ktab[i] = int((1 << shift) * (*kfn)((double)i / (1 << shift) - a));
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return ktab;
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}
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return NULL;
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}
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force_inline
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int sGetk(const int *kernel, int x, int a, int shift)
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{
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x += a << shift;
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ASSERT(x >= 0 && x < ((2 * a) << shift) + 1);
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x = minmax(x, 0, (2 * a) << shift);
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return kernel[x];
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}
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static int sGeta(int a, int src, int tgt, int& shift)
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{
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int n = min(max(src / tgt, 1) * a, 31);
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shift = 8 - n / 8;
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return n;
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}
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Image RescaleFilter(const Image& img, Size sz, const Rect& sr,
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double (*kfn)(double x), int a,
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Gate<int, int> progress)
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{
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ASSERT(Rect(img.GetSize()).Contains(sr));
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Size isz = sr.GetSize();
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if(isz.cx <= 0 || isz.cy <= 0 || sz.cx <= 0 || sz.cy <= 0)
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return Image();
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int shiftx, shifty;
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int ax = sGeta(a, isz.cx, sz.cx, shiftx);
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int ay = sGeta(a, isz.cy, sz.cy, shifty);
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int shift = min(shiftx, shifty);
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const int *kernel = sGetKernel(kfn, a, shift);
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Buffer<int> px(sz.cx * 2 * ax * 2 * ay * 2);
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int *xd = px;
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Size cr = (Size(1 << shift, 1 << shift) - (isz << shift) / sz) >> 1;
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for(int x = 0; x < sz.cx; x++) {
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int dx = ((x * isz.cx) << shift) / sz.cx - cr.cx;
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int sx = dx >> shift;
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dx -= sx << shift;
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if(dx < 0)
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dx = 0;
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for(int yy = -ay + 1; yy <= ay; yy++)
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for(int xx = -ax + 1; xx <= ax; xx++) {
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*xd++ = minmax(sx + xx, 0, isz.cx - 1) + sr.left;
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*xd++ = sGetk(kernel, ((xx << shift) - dx) * a / ax, a, shift);
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}
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}
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ImageBuffer ib(sz);
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RGBA *t = ~ib;
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for(int y = 0; y < sz.cy; y++) {
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if(progress(y, sz.cy))
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break;
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int dy = ((y * isz.cy) << shift) / sz.cy - cr.cy;
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int sy = dy >> shift;
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dy -= sy << shift;
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if(dy < 0)
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dy = 0;
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xd = ~px;
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Buffer<int> py(2 * ay * 2);
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int *yd = py;
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for(int yy = -ay + 1; yy <= ay; yy++) {
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*yd++ = sGetk(kernel, ((yy << shift) - dy) * a / ay, a, shift);
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*yd++ = minmax(sy + yy, 0, isz.cy - 1) + sr.top;
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}
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for(int x = 0; x < sz.cx; x++) {
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int red = 0;
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int green = 0;
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int blue = 0;
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int alpha = 0;
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int w = 0;
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yd = py;
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int hasalpha = 0;
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for(int yy = 2 * ay; yy-- > 0;) {
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int ky = *yd++;
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const RGBA *l = img[*yd++];
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for(int xx = 2 * ax; xx-- > 0;) {
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const RGBA& s = l[*xd++];
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int weight = ky * *xd++;
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red += weight * s.r;
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green += weight * s.g;
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blue += weight * s.b;
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alpha += weight * s.a;
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hasalpha |= s.a - 255;
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w += weight;
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}
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}
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if(w)
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if(hasalpha) {
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t->a = alpha = Saturate255(alpha / w);
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t->r = clamp(red / w, 0, alpha);
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t->g = clamp(green / w, 0, alpha);
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t->b = clamp(blue / w, 0, alpha);
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}
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else {
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t->a = 255;
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t->r = Saturate255(red / w);
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t->g = Saturate255(green / w);
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t->b = Saturate255(blue / w);
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}
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else
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t->a = t->r = t->g = t->b = 0;
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t++;
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}
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}
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ib.SetResolution(img.GetResolution());
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return ib;
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}
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Image RescaleFilter(const Image& img, Size sz,
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double (*kfn)(double x), int a,
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Gate<int, int> progress)
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{
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return RescaleFilter(img, sz, img.GetSize(), kfn, a, progress);
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}
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Image RescaleFilter(const Image& img, int cx, int cy,
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double (*kfn)(double x), int a,
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Gate<int, int> progress)
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{
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return RescaleFilter(img, Size(cx, cy), img.GetSize(), kfn, a, progress);
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}
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static double sNearest(double x)
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{
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return x >= -0.5 && x <= 0.5;
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}
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static double sBiCubic_(double x, double B, double C)
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{
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x = fabs(x);
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double x2 = x * x;
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double x3 = x * x * x;
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return
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1 / 6.0 * (x < 1 ? (12 - 9*B - 6*C) * x3 + (-18 + 12*B + 6*C) * x2 + (6 - 2*B) :
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x < 2 ? (-B - 6*C) * x3 + (6*B + 30*C) * x2 + (-12*B - 48*C) *x + (8*B + 24*C) :
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0);
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}
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static double sBspline(double x)
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{
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return sBiCubic_(x, 1, 0);
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}
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static double sMitchell(double x)
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{
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return sBiCubic_(x, 1 / 3.0, 1 / 3.0);
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}
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static double sCatmullRom(double x)
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{
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return sBiCubic_(x, 0, 1 / 2);
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}
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static double sLinear(double x)
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{
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x = fabs(x);
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if(x > 1)
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return 0;
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return 1 - fabs(x);
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}
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static double sLanczos(double x, int a)
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{
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x = fabs(x);
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if(x < 1e-200)
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return 1;
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if(x >= a)
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return 0;
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return a * sin(M_PI * x) * sin(M_PI * x / a) / (M_PI * M_PI * x * x);
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}
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static double sLanczos2(double x)
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{
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return sLanczos(x, 2);
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}
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static double sLanczos3(double x)
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{
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return sLanczos(x, 3);
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}
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static double sLanczos4(double x)
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{
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return sLanczos(x, 4);
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}
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static double sLanczos5(double x)
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{
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return sLanczos(x, 5);
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}
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static double sCostello(double x)
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{
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x = fabs(x);
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return x < 0.5 ? 0.75 - x * x :
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x < 1.5 ? 0.5 * (x - 1.5) * (x - 1.5) :
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0;
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}
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Image RescaleFilter(const Image& img, Size sz, const Rect& sr, int filter, Gate<int, int> progress)
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{
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if(IsNull(filter))
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return Rescale(img, sz, sr);
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static Tuple2<double (*)(double), int> tab[] = {
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{ sNearest, 1 },
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{ sLinear, 1 },
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{ sBspline, 2 },
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{ sCostello, 2 },
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{ sMitchell, 2 },
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{ sCatmullRom, 2 },
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{ sLanczos2, 2 },
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{ sLanczos3, 3 },
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{ sLanczos4, 4 },
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{ sLanczos5, 5 },
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};
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ASSERT(filter >= FILTER_NEAREST && filter <= FILTER_LANCZOS5);
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return RescaleFilter(img, sz, sr, tab[filter].a, tab[filter].b, progress);
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}
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Image RescaleFilter(const Image& img, Size sz, int filter, Gate<int, int> progress)
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{
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return RescaleFilter(img, sz, img.GetSize(), filter, progress);
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}
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Image RescaleFilter(const Image& img, int cx, int cy, int filter, Gate<int, int> progress)
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{
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return RescaleFilter(img, Size(cx, cy), filter, progress);
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}
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}
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