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rawTherapee/rtengine/amaze_interpolate_RT.cc

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////////////////////////////////////////////////////////////////
//
// AMaZE demosaic algorithm
// (Aliasing Minimization and Zipper Elimination)
//
// copyright (c) 2008-2010 Emil Martinec <ejmartin@uchicago.edu>
//
// incorporating ideas of Luis Sanz Rodrigues and Paul Lee
//
// code dated: May 27, 2010
//
// amaze_interpolate_RT.cc is free software: you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program. If not, see <http://www.gnu.org/licenses/>.
//
////////////////////////////////////////////////////////////////
void RawImageSource::amaze_demosaic_RT() {
#define SQR(x) ((x)*(x))
//#define MIN(a,b) ((a) < (b) ? (a) : (b))
//#define MAX(a,b) ((a) > (b) ? (a) : (b))
#define LIM(x,min,max) MAX(min,MIN(x,max))
#define ULIM(x,y,z) ((y) < (z) ? LIM(x,y,z) : LIM(x,z,y))
//#define CLIP(x) LIM(x,0,65535)
//allocate outpute arrays
int width=W, height=H;
red = new unsigned short*[H];
for (int i=0; i<H; i++) {
red[i] = new unsigned short[W];
}
green = new unsigned short*[H];
for (int i=0; i<H; i++) {
green[i] = new unsigned short[W];
}
blue = new unsigned short*[H];
for (int i=0; i<H; i++) {
blue[i] = new unsigned short[W];
}
static const float clip_pt = 1/ri->defgain;
#define TS 512 // Tile size; the image is processed in square tiles to lower memory requirements and facilitate multi-threading
// local variables
//offset of R pixel within a Bayer quartet
int ex, ey;
//shifts of pointer value to access pixels in vertical and diagonal directions
static const int v1=TS, v2=2*TS, v3=3*TS, p1=-TS+1, p2=-2*TS+2, p3=-3*TS+3, m1=TS+1, m2=2*TS+2, m3=3*TS+3;
//neighborhood of a pixel
static const int nbr[5] = {-v2,-2,2,v2,0};
//tolerance to avoid dividing by zero
static const float eps=1e-5, epssq=1e-10; //tolerance to avoid dividing by zero
//adaptive ratios threshold
static const float arthresh=0.75;
//nyquist texture test threshold
static const float nyqthresh=0.5;
//diagonal interpolation test threshold
static const float pmthresh=0.25;
//factors for bounding interpolation in saturated regions
static const float lbd=1.0, ubd=1.0; //lbd=0.66, ubd=1.5 alternative values;
//gaussian on 5x5 quincunx, sigma=1.2
static const float gaussodd[4] = {0.14659727707323927f, 0.103592713382435f, 0.0732036125103057f, 0.0365543548389495f};
//gaussian on 5x5, sigma=1.2
static const float gaussgrad[6] = {0.07384411893421103f, 0.06207511968171489f, 0.0521818194747806f, \
0.03687419286733595f, 0.03099732204057846f, 0.018413194161458882f};
//gaussian on 3x3, sigma =0.7
static const float gauss1[3] = {0.3376688223162362f, 0.12171198028231786f, 0.04387081413862306f};
//gaussian on 5x5 alt quincunx, sigma=1.5
static const float gausseven[2] = {0.13719494435797422f, 0.05640252782101291f};
//guassian on quincunx grid
static const float gquinc[4] = {0.169917f, 0.108947f, 0.069855f, 0.0287182f};
volatile double progress = 0.0;
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
#pragma omp parallel
{
//position of top/left corner of the tile
int top, left;
// beginning of storage block for tile
char *buffer;
// rgb values
float (*rgb)[3];
// horizontal gradient
float (*delh);
// vertical gradient
float (*delv);
// square of delh
float (*delhsq);
// square of delv
float (*delvsq);
// gradient based directional weights for interpolation
float (*dirwts)[2];
// vertically interpolated color differences G-R, G-B
float (*vcd);
// horizontally interpolated color differences
float (*hcd);
// alternative vertical interpolation
float (*vcdalt);
// alternative horizontal interpolation
float (*hcdalt);
// square of vcd
float (*vcdsq);
// square of hcd
float (*hcdsq);
// square of average color difference
float (*cddiffsq);
// weight to give horizontal vs vertical interpolation
float (*hvwt);
// final interpolated color difference
float (*Dgrb)[2];
// gradient in plus (NE/SW) direction
float (*delp);
// gradient in minus (NW/SE) direction
float (*delm);
// diagonal interpolation of R+B
float (*rbint);
// horizontal curvature of interpolated G (used to refine interpolation in Nyquist texture regions)
float (*Dgrbh2);
// vertical curvature of interpolated G
float (*Dgrbv2);
// difference between up/down interpolations of G
float (*dgintv);
// difference between left/right interpolations of G
float (*dginth);
// diagonal (plus) color difference R-B or G1-G2
float (*Dgrbp1);
// diagonal (minus) color difference R-B or G1-G2
float (*Dgrbm1);
// square of diagonal color difference
float (*Dgrbpsq1);
// square of diagonal color difference
float (*Dgrbmsq1);
// tile raw data
float (*cfa);
// relative weight for combining plus and minus diagonal interpolations
float (*pmwt);
// interpolated color difference R-B in plus direction
float (*rbp);
// interpolated color difference R-B in minus direction
float (*rbm);
// nyquist texture flag 1=nyquist, 0=not nyquist
int (*nyquist);
// assign working space
buffer = (char *) malloc((34*sizeof(float)+sizeof(int))*TS*TS);
//merror(buffer,"amaze_interpolate()");
//memset(buffer,0,(34*sizeof(float)+sizeof(int))*TS*TS);
// rgb array
rgb = (float (*)[3]) buffer; //pointers to array
delh = (float (*)) (buffer + 3*sizeof(float)*TS*TS);
delv = (float (*)) (buffer + 4*sizeof(float)*TS*TS);
delhsq = (float (*)) (buffer + 5*sizeof(float)*TS*TS);
delvsq = (float (*)) (buffer + 6*sizeof(float)*TS*TS);
dirwts = (float (*)[2]) (buffer + 7*sizeof(float)*TS*TS);
vcd = (float (*)) (buffer + 9*sizeof(float)*TS*TS);
hcd = (float (*)) (buffer + 10*sizeof(float)*TS*TS);
vcdalt = (float (*)) (buffer + 11*sizeof(float)*TS*TS);
hcdalt = (float (*)) (buffer + 12*sizeof(float)*TS*TS);
vcdsq = (float (*)) (buffer + 13*sizeof(float)*TS*TS);
hcdsq = (float (*)) (buffer + 14*sizeof(float)*TS*TS);
cddiffsq = (float (*)) (buffer + 15*sizeof(float)*TS*TS);
hvwt = (float (*)) (buffer + 16*sizeof(float)*TS*TS);
Dgrb = (float (*)[2]) (buffer + 17*sizeof(float)*TS*TS);
delp = (float (*)) (buffer + 19*sizeof(float)*TS*TS);
delm = (float (*)) (buffer + 20*sizeof(float)*TS*TS);
rbint = (float (*)) (buffer + 21*sizeof(float)*TS*TS);
Dgrbh2 = (float (*)) (buffer + 22*sizeof(float)*TS*TS);
Dgrbv2 = (float (*)) (buffer + 23*sizeof(float)*TS*TS);
dgintv = (float (*)) (buffer + 24*sizeof(float)*TS*TS);
dginth = (float (*)) (buffer + 25*sizeof(float)*TS*TS);
Dgrbp1 = (float (*)) (buffer + 26*sizeof(float)*TS*TS);
Dgrbm1 = (float (*)) (buffer + 27*sizeof(float)*TS*TS);
Dgrbpsq1 = (float (*)) (buffer + 28*sizeof(float)*TS*TS);
Dgrbmsq1 = (float (*)) (buffer + 29*sizeof(float)*TS*TS);
cfa = (float (*)) (buffer + 30*sizeof(float)*TS*TS);
pmwt = (float (*)) (buffer + 31*sizeof(float)*TS*TS);
rbp = (float (*)) (buffer + 32*sizeof(float)*TS*TS);
rbm = (float (*)) (buffer + 33*sizeof(float)*TS*TS);
nyquist = (int (*)) (buffer + 34*sizeof(int)*TS*TS);
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
/*double dt;
clock_t t1, t2;
clock_t t1_init, t2_init = 0;
clock_t t1_vcdhcd, t2_vcdhcd = 0;
clock_t t1_cdvar, t2_cdvar = 0;
clock_t t1_nyqtest, t2_nyqtest = 0;
clock_t t1_areainterp, t2_areainterp = 0;
clock_t t1_compare, t2_compare = 0;
clock_t t1_diag, t2_diag = 0;
clock_t t1_chroma, t2_chroma = 0;*/
// start
//if (verbose) fprintf (stderr,_("AMaZE interpolation ...\n"));
//t1 = clock();
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if (plistener) {
plistener->setProgressStr ("AMaZE Demosaicing...");
plistener->setProgress (0.0);
}
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
//determine GRBG coset; (ey,ex) is the offset of the R subarray
if (FC(0,0)==1) {//first pixel is G
if (FC(0,1)==0) {ey=0; ex=1;} else {ey=1; ex=0;}
} else {//first pixel is R or B
if (FC(0,0)==0) {ey=0; ex=0;} else {ey=1; ex=1;}
}
// Main algorithm: Tile loop
//#pragma omp parallel for shared(ri->data,height,width,red,green,blue) private(top,left) schedule(dynamic)
//code is openmp ready; just have to pull local tile variable declarations inside the tile loop
#pragma omp for schedule(dynamic) nowait
for (top=-16; top < height; top += TS-32)
for (left=-16; left < width; left += TS-32) {
//location of tile bottom edge
int bottom = MIN( top+TS,height+16);
//location of tile right edge
int right = MIN(left+TS, width+16);
//tile width (=TS except for right edge of image)
int rr1 = bottom - top;
//tile height (=TS except for bottom edge of image)
int cc1 = right - left;
//tile vars
//counters for pixel location in the image
int row, col;
//min and max row/column in the tile
int rrmin, rrmax, ccmin, ccmax;
//counters for pixel location within the tile
int rr, cc;
//color index 0=R, 1=G, 2=B
int c;
//pointer counters within the tile
int indx, indx1;
//direction counter for nbrs[]
int dir;
//dummy indices
int i, j;
// +1 or -1
int sgn;
//color ratios in up/down/left/right directions
float cru, crd, crl, crr;
//adaptive weights for vertical/horizontal/plus/minus directions
float vwt, hwt, pwt, mwt;
//vertical and horizontal G interpolations
float Gintv, Ginth;
//G interpolated in vert/hor directions using adaptive ratios
float guar, gdar, glar, grar;
//G interpolated in vert/hor directions using Hamilton-Adams method
float guha, gdha, glha, grha;
//interpolated G from fusing left/right or up/down
float Ginthar, Ginthha, Gintvar, Gintvha;
//color difference (G-R or G-B) variance in up/down/left/right directions
float Dgrbvvaru, Dgrbvvard, Dgrbhvarl, Dgrbhvarr;
//gradients in various directions
float gradp, gradm, gradv, gradh, gradpm, gradhv;
//color difference variances in vertical and horizontal directions
float vcdvar, hcdvar, vcdvar1, hcdvar1, hcdaltvar, vcdaltvar;
//adaptive interpolation weight using variance of color differences
float varwt;
//adaptive interpolation weight using difference of left-right and up-down G interpolations
float diffwt;
//alternative adaptive weight for combining horizontal/vertical interpolations
float hvwtalt;
//temporary variables for combining interpolation weights at R and B sites
float vo, ve;
//interpolation of G in four directions
float gu, gd, gl, gr;
//variance of G in vertical/horizontal directions
float gvarh, gvarv;
//Nyquist texture test
float nyqtest;
//accumulators for Nyquist texture interpolation
float sumh, sumv, sumsqh, sumsqv, areawt;
//color ratios in diagonal directions
float crse, crnw, crne, crsw;
//color differences in diagonal directions
float rbse, rbnw, rbne, rbsw;
//adaptive weights for combining diagonal interpolations
float wtse, wtnw, wtsw, wtne;
//alternate weight for combining diagonal interpolations
float pmwtalt;
//variance of R-B in plus/minus directions
float rbvarp, rbvarm;
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
// rgb from input CFA data
// rgb values should be floating point number between 0 and 1
// after white balance multipliers are applied
// a 16 pixel border is added to each side of the image
// bookkeeping for borders
if (top<0) {rrmin=16;} else {rrmin=0;}
if (left<0) {ccmin=16;} else {ccmin=0;}
if (bottom>height) {rrmax=height-top;} else {rrmax=rr1;}
if (right>width) {ccmax=width-left;} else {ccmax=cc1;}
for (rr=rrmin; rr < rrmax; rr++)
for (row=rr+top, cc=ccmin; cc < ccmax; cc++) {
col = cc+left;
c = FC(rr,cc);
indx=row*width+col;
indx1=rr*TS+cc;
rgb[indx1][c] = (ri->data[row][col])/65535.0f;
//rgb[indx1][c] = image[indx][c]/65535.0f;//for dcraw implementation
cfa[indx1] = rgb[indx1][c];
}
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
//fill borders
if (rrmin>0) {
for (rr=0; rr<16; rr++)
for (cc=ccmin; cc<ccmax; cc++) {
c = FC(rr,cc);
rgb[rr*TS+cc][c] = rgb[(32-rr)*TS+cc][c];
cfa[rr*TS+cc] = rgb[rr*TS+cc][c];
}
}
if (rrmax<rr1) {
for (rr=0; rr<16; rr++)
for (cc=ccmin; cc<ccmax; cc++) {
c=FC(rr,cc);
rgb[(rrmax+rr)*TS+cc][c] = (ri->data[(height-rr-2)][left+cc])/65535.0f;
//rgb[(rrmax+rr)*TS+cc][c] = (image[(height-rr-2)*width+left+cc][c])/65535.0f;//for dcraw implementation
cfa[(rrmax+rr)*TS+cc] = rgb[(rrmax+rr)*TS+cc][c];
}
}
if (ccmin>0) {
for (rr=rrmin; rr<rrmax; rr++)
for (cc=0; cc<16; cc++) {
c=FC(rr,cc);
rgb[rr*TS+cc][c] = rgb[rr*TS+32-cc][c];
cfa[rr*TS+cc] = rgb[rr*TS+cc][c];
}
}
if (ccmax<cc1) {
for (rr=rrmin; rr<rrmax; rr++)
for (cc=0; cc<16; cc++) {
c=FC(rr,cc);
rgb[rr*TS+ccmax+cc][c] = (ri->data[(top+rr)][(width-cc-2)])/65535.0f;
//rgb[rr*TS+ccmax+cc][c] = (image[(top+rr)*width+(width-cc-2)][c])/65535.0f;//for dcraw implementation
cfa[rr*TS+ccmax+cc] = rgb[rr*TS+ccmax+cc][c];
}
}
//also, fill the image corners
if (rrmin>0 && ccmin>0) {
for (rr=0; rr<16; rr++)
for (cc=0; cc<16; cc++) {
c=FC(rr,cc);
rgb[(rr)*TS+cc][c] = (ri->data[32-rr][32-cc])/65535.0f;
//rgb[(rr)*TS+cc][c] = (rgb[(32-rr)*TS+(32-cc)][c]);//for dcraw implementation
cfa[(rr)*TS+cc] = rgb[(rr)*TS+cc][c];
}
}
if (rrmax<rr1 && ccmax<cc1) {
for (rr=0; rr<16; rr++)
for (cc=0; cc<16; cc++) {
c=FC(rr,cc);
rgb[(rrmax+rr)*TS+ccmax+cc][c] = (ri->data[(height-rr-2)][(width-cc-2)])/65535.0f;
//rgb[(rrmax+rr)*TS+ccmax+cc][c] = (image[(height-rr-2)*width+(width-cc-2)][c])/65535.0f;//for dcraw implementation
cfa[(rrmax+rr)*TS+ccmax+cc] = rgb[(rrmax+rr)*TS+ccmax+cc][c];
}
}
if (rrmin>0 && ccmax<cc1) {
for (rr=0; rr<16; rr++)
for (cc=0; cc<16; cc++) {
c=FC(rr,cc);
rgb[(rr)*TS+ccmax+cc][c] = (ri->data[(32-rr)][(width-cc-2)])/65535.0f;
//rgb[(rr)*TS+ccmax+cc][c] = (image[(32-rr)*width+(width-cc-2)][c])/65535.0f;//for dcraw implementation
cfa[(rr)*TS+ccmax+cc] = rgb[(rr)*TS+ccmax+cc][c];
}
}
if (rrmax<rr1 && ccmin>0) {
for (rr=0; rr<16; rr++)
for (cc=0; cc<16; cc++) {
c=FC(rr,cc);
rgb[(rrmax+rr)*TS+cc][c] = (ri->data[(height-rr-2)][(32-cc)])/65535.0f;
//rgb[(rrmax+rr)*TS+cc][c] = (image[(height-rr-2)*width+(32-cc)][c])/65535.0f;//for dcraw implementation
cfa[(rrmax+rr)*TS+cc] = rgb[(rrmax+rr)*TS+cc][c];
}
}
//end of border fill
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
for (rr=1; rr < rr1-1; rr++)
for (cc=1, indx=(rr)*TS+cc; cc < cc1-1; cc++, indx++) {
delh[indx] = fabs(cfa[indx+1]-cfa[indx-1]);
delv[indx] = fabs(cfa[indx+v1]-cfa[indx-v1]);
delhsq[indx] = SQR(delh[indx]);
delvsq[indx] = SQR(delv[indx]);
delp[indx] = fabs(cfa[indx+p1]-cfa[indx-p1]);
delm[indx] = fabs(cfa[indx+m1]-cfa[indx-m1]);
}
for (rr=2; rr < rr1-2; rr++)
for (cc=2,indx=(rr)*TS+cc; cc < cc1-2; cc++, indx++) {
dirwts[indx][0] = eps+delv[indx+v1]+delv[indx-v1]+delv[indx];//+fabs(cfa[indx+v2]-cfa[indx-v2]);
//vert directional averaging weights
dirwts[indx][1] = eps+delh[indx+1]+delh[indx-1]+delh[indx];//+fabs(cfa[indx+2]-cfa[indx-2]);
//horizontal weights
if (FC(rr,cc)&1) {
//for later use in diagonal interpolation
//Dgrbp1[indx]=2*cfa[indx]-(cfa[indx-p1]+cfa[indx+p1]);
//Dgrbm1[indx]=2*cfa[indx]-(cfa[indx-m1]+cfa[indx+m1]);
Dgrbpsq1[indx]=(SQR(cfa[indx]-cfa[indx-p1])+SQR(cfa[indx]-cfa[indx+p1]));
Dgrbmsq1[indx]=(SQR(cfa[indx]-cfa[indx-m1])+SQR(cfa[indx]-cfa[indx+m1]));
}
}
//t2_init += clock()-t1_init;
// end of tile initialization
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
//interpolate vertical and horizontal color differences
//t1_vcdhcd = clock();
for (rr=4; rr<rr1-4; rr++)
//for (cc=4+(FC(rr,2)&1),indx=rr*TS+cc,c=FC(rr,cc); cc<cc1-4; cc+=2,indx+=2) {
for (cc=4,indx=rr*TS+cc; cc<cc1-4; cc++,indx++) {
c=FC(rr,cc);
if (c&1) {sgn=-1;} else {sgn=1;}
//initialization of nyquist test
nyquist[indx]=0;
//preparation for diag interp
rbint[indx]=0;
//color ratios in each cardinal direction
cru = cfa[indx-v1]*(dirwts[indx-v2][0]+dirwts[indx][0])/(dirwts[indx-v2][0]*(eps+cfa[indx])+dirwts[indx][0]*(eps+cfa[indx-v2]));
crd = cfa[indx+v1]*(dirwts[indx+v2][0]+dirwts[indx][0])/(dirwts[indx+v2][0]*(eps+cfa[indx])+dirwts[indx][0]*(eps+cfa[indx+v2]));
crl = cfa[indx-1]*(dirwts[indx-2][1]+dirwts[indx][1])/(dirwts[indx-2][1]*(eps+cfa[indx])+dirwts[indx][1]*(eps+cfa[indx-2]));
crr = cfa[indx+1]*(dirwts[indx+2][1]+dirwts[indx][1])/(dirwts[indx+2][1]*(eps+cfa[indx])+dirwts[indx][1]*(eps+cfa[indx+2]));
guha=cfa[indx-v1]+0.5*(cfa[indx]-cfa[indx-v2]);
gdha=cfa[indx+v1]+0.5*(cfa[indx]-cfa[indx+v2]);
glha=cfa[indx-1]+0.5*(cfa[indx]-cfa[indx-2]);
grha=cfa[indx+1]+0.5*(cfa[indx]-cfa[indx+2]);
if (fabs(1-cru)<arthresh) {guar=cfa[indx]*cru;} else {guar=guha;}
if (fabs(1-crd)<arthresh) {gdar=cfa[indx]*crd;} else {gdar=gdha;}
if (fabs(1-crl)<arthresh) {glar=cfa[indx]*crl;} else {glar=glha;}
if (fabs(1-crr)<arthresh) {grar=cfa[indx]*crr;} else {grar=grha;}
hwt = dirwts[indx-1][1]/(dirwts[indx-1][1]+dirwts[indx+1][1]);
vwt = dirwts[indx-v1][0]/(dirwts[indx+v1][0]+dirwts[indx-v1][0]);
//interpolated G via adaptive weights of cardinal evaluations
Gintvar = vwt*gdar+(1-vwt)*guar;
Ginthar = hwt*grar+(1-hwt)*glar;
Gintvha = vwt*gdha+(1-vwt)*guha;
Ginthha = hwt*grha+(1-hwt)*glha;
//interpolated color differences
vcd[indx] = sgn*(Gintvar-cfa[indx]);
hcd[indx] = sgn*(Ginthar-cfa[indx]);
vcdalt[indx] = sgn*(Gintvha-cfa[indx]);
hcdalt[indx] = sgn*(Ginthha-cfa[indx]);
if (cfa[indx] > 0.8*clip_pt || Gintvha > 0.8*clip_pt || Ginthha > 0.8*clip_pt) {
//use HA if highlights are (nearly) clipped
guar=guha; gdar=gdha; glar=glha; grar=grha;
vcd[indx]=vcdalt[indx]; hcd[indx]=hcdalt[indx];
}
//differences of interpolations in opposite directions
dgintv[indx]=MIN(SQR(guha-gdha),SQR(guar-gdar));
dginth[indx]=MIN(SQR(glha-grha),SQR(glar-grar));
//dgintv[indx]=SQR(guar-gdar);
//dginth[indx]=SQR(glar-grar);
//vcdsq[indx] = SQR(vcd[indx]);
//hcdsq[indx] = SQR(hcd[indx]);
//cddiffsq[indx] = SQR(vcd[indx]-hcd[indx]);
}
//t2_vcdhcd += clock() - t1_vcdhcd;
//t1_cdvar = clock();
for (rr=4; rr<rr1-4; rr++)
//for (cc=4+(FC(rr,2)&1),indx=rr*TS+cc,c=FC(rr,cc); cc<cc1-4; cc+=2,indx+=2) {
for (cc=4,indx=rr*TS+cc; cc<cc1-4; cc++,indx++) {
c=FC(rr,cc);
hcdvar = 3*(SQR(hcd[indx-2])+SQR(hcd[indx])+SQR(hcd[indx+2]))-SQR(hcd[indx-2]+hcd[indx]+hcd[indx+2]);
hcdaltvar = 3*(SQR(hcdalt[indx-2])+SQR(hcdalt[indx])+SQR(hcdalt[indx+2]))-SQR(hcdalt[indx-2]+hcdalt[indx]+hcdalt[indx+2]);
vcdvar = 3*(SQR(vcd[indx-v2])+SQR(vcd[indx])+SQR(vcd[indx+v2]))-SQR(vcd[indx-v2]+vcd[indx]+vcd[indx+v2]);
vcdaltvar = 3*(SQR(vcdalt[indx-v2])+SQR(vcdalt[indx])+SQR(vcdalt[indx+v2]))-SQR(vcdalt[indx-v2]+vcdalt[indx]+vcdalt[indx+v2]);
//choose the smallest variance; this yields a smoother interpolation
if (hcdaltvar<hcdvar) hcd[indx]=hcdalt[indx];
if (vcdaltvar<vcdvar) vcd[indx]=vcdalt[indx];
//bound the interpolation in regions of high saturation
if (c&1) {
Ginth = -hcd[indx]+cfa[indx];//R or B
Gintv = -vcd[indx]+cfa[indx];//B or R
if (hcd[indx]>0) {
if (3*hcd[indx] > (Ginth+cfa[indx])) {
hcd[indx]=-ULIM(Ginth,cfa[indx-1],cfa[indx+1])+cfa[indx];
} else {
hwt = 1-3*hcd[indx]/(eps+Ginth+cfa[indx]);
hcd[indx]=hwt*hcd[indx] + (1-hwt)*(-ULIM(Ginth,cfa[indx-1],cfa[indx+1])+cfa[indx]);
}
}
if (vcd[indx]>0) {
if (3*vcd[indx] > (Gintv+cfa[indx])) {
vcd[indx]=-ULIM(Gintv,cfa[indx-v1],cfa[indx+v1])+cfa[indx];
} else {
vwt = 1-3*vcd[indx]/(eps+Gintv+cfa[indx]);
vcd[indx]=vwt*vcd[indx] + (1-vwt)*(-ULIM(Gintv,cfa[indx-v1],cfa[indx+v1])+cfa[indx]);
}
}
if (Ginth > clip_pt) hcd[indx]=-ULIM(Ginth,cfa[indx-1],cfa[indx+1])+cfa[indx];//for RT implementation
if (Gintv > clip_pt) vcd[indx]=-ULIM(Gintv,cfa[indx-v1],cfa[indx+v1])+cfa[indx];
//if (Ginth > pre_mul[c]) hcd[indx]=-ULIM(Ginth,cfa[indx-1],cfa[indx+1])+cfa[indx];//for dcraw implementation
//if (Gintv > pre_mul[c]) vcd[indx]=-ULIM(Gintv,cfa[indx-v1],cfa[indx+v1])+cfa[indx];
} else {
Ginth = hcd[indx]+cfa[indx];//interpolated G
Gintv = vcd[indx]+cfa[indx];
if (hcd[indx]<0) {
if (3*hcd[indx] < -(Ginth+cfa[indx])) {
hcd[indx]=ULIM(Ginth,cfa[indx-1],cfa[indx+1])-cfa[indx];
} else {
hwt = 1+3*hcd[indx]/(eps+Ginth+cfa[indx]);
hcd[indx]=hwt*hcd[indx] + (1-hwt)*(ULIM(Ginth,cfa[indx-1],cfa[indx+1])-cfa[indx]);
}
}
if (vcd[indx]<0) {
if (3*vcd[indx] < -(Gintv+cfa[indx])) {
vcd[indx]=ULIM(Gintv,cfa[indx-v1],cfa[indx+v1])-cfa[indx];
} else {
vwt = 1+3*vcd[indx]/(eps+Gintv+cfa[indx]);
vcd[indx]=vwt*vcd[indx] + (1-vwt)*(ULIM(Gintv,cfa[indx-v1],cfa[indx+v1])-cfa[indx]);
}
}
if (Ginth > clip_pt) hcd[indx]=ULIM(Ginth,cfa[indx-1],cfa[indx+1])-cfa[indx];//for RT implementation
if (Gintv > clip_pt) vcd[indx]=ULIM(Gintv,cfa[indx-v1],cfa[indx+v1])-cfa[indx];
//if (Ginth > pre_mul[c]) hcd[indx]=ULIM(Ginth,cfa[indx-1],cfa[indx+1])-cfa[indx];//for dcraw implementation
//if (Gintv > pre_mul[c]) vcd[indx]=ULIM(Gintv,cfa[indx-v1],cfa[indx+v1])-cfa[indx];
}
vcdsq[indx] = SQR(vcd[indx]);
hcdsq[indx] = SQR(hcd[indx]);
cddiffsq[indx] = SQR(vcd[indx]-hcd[indx]);
}
for (rr=6; rr<rr1-6; rr++)
for (cc=6+(FC(rr,2)&1),indx=rr*TS+cc; cc<cc1-6; cc+=2,indx+=2) {
//compute color difference variances in cardinal directions
Dgrbvvaru = 4*(vcdsq[indx]+vcdsq[indx-v1]+vcdsq[indx-v2]+vcdsq[indx-v3])-SQR(vcd[indx]+vcd[indx-v1]+vcd[indx-v2]+vcd[indx-v3]);
Dgrbvvard = 4*(vcdsq[indx]+vcdsq[indx+v1]+vcdsq[indx+v2]+vcdsq[indx+v3])-SQR(vcd[indx]+vcd[indx+v1]+vcd[indx+v2]+vcd[indx+v3]);
Dgrbhvarl = 4*(hcdsq[indx]+hcdsq[indx-1]+hcdsq[indx-2]+hcdsq[indx-3])-SQR(hcd[indx]+hcd[indx-1]+hcd[indx-2]+hcd[indx-3]);
Dgrbhvarr = 4*(hcdsq[indx]+hcdsq[indx+1]+hcdsq[indx+2]+hcdsq[indx+3])-SQR(hcd[indx]+hcd[indx+1]+hcd[indx+2]+hcd[indx+3]);
hwt = dirwts[indx-1][1]/(dirwts[indx-1][1]+dirwts[indx+1][1]);
vwt = dirwts[indx-v1][0]/(dirwts[indx+v1][0]+dirwts[indx-v1][0]);
vcdvar = epssq+vwt*Dgrbvvard+(1-vwt)*Dgrbvvaru;
hcdvar = epssq+hwt*Dgrbhvarr+(1-hwt)*Dgrbhvarl;
//vcdvar = 5*(vcdsq[indx]+vcdsq[indx-v1]+vcdsq[indx-v2]+vcdsq[indx+v1]+vcdsq[indx+v2])-SQR(vcd[indx]+vcd[indx-v1]+vcd[indx-v2]+vcd[indx+v1]+vcd[indx+v2]);
//hcdvar = 5*(hcdsq[indx]+hcdsq[indx-1]+hcdsq[indx-2]+hcdsq[indx+1]+hcdsq[indx+2])-SQR(hcd[indx]+hcd[indx-1]+hcd[indx-2]+hcd[indx+1]+hcd[indx+2]);
//compute fluctuations in up/down and left/right interpolations of colors
Dgrbvvaru = (dgintv[indx])+(dgintv[indx-v1])+(dgintv[indx-v2]);
Dgrbvvard = (dgintv[indx])+(dgintv[indx+v1])+(dgintv[indx+v2]);
Dgrbhvarl = (dginth[indx])+(dginth[indx-1])+(dginth[indx-2]);
Dgrbhvarr = (dginth[indx])+(dginth[indx+1])+(dginth[indx+2]);
vcdvar1 = epssq+vwt*Dgrbvvard+(1-vwt)*Dgrbvvaru;
hcdvar1 = epssq+hwt*Dgrbhvarr+(1-hwt)*Dgrbhvarl;
//determine adaptive weights for G interpolation
varwt=hcdvar/(vcdvar+hcdvar);
diffwt=hcdvar1/(vcdvar1+hcdvar1);
//if both agree on interpolation direction, choose the one with strongest directional discrimination;
//otherwise, choose the u/d and l/r difference fluctuation weights
if ((0.5-varwt)*(0.5-diffwt)>0 && fabs(0.5-diffwt)<fabs(0.5-varwt)) {hvwt[indx]=varwt;} else {hvwt[indx]=diffwt;}
//hvwt[indx]=varwt;
}
//t2_cdvar += clock() - t1_cdvar;
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
// Nyquist test
//t1_nyqtest = clock();
for (rr=6; rr<rr1-6; rr++)
for (cc=6+(FC(rr,2)&1),indx=rr*TS+cc; cc<cc1-6; cc+=2,indx+=2) {
//nyquist texture test: ask if difference of vcd compared to hcd is larger or smaller than RGGB gradients
nyqtest = (gaussodd[0]*cddiffsq[indx]+ \
gaussodd[1]*(cddiffsq[indx-m1]+cddiffsq[indx+p1]+ \
cddiffsq[indx-p1]+cddiffsq[indx+m1])+ \
gaussodd[2]*(cddiffsq[indx-v2]+cddiffsq[indx-2]+ \
cddiffsq[indx+2]+cddiffsq[indx+v2])+ \
gaussodd[3]*(cddiffsq[indx-m2]+cddiffsq[indx+p2]+ \
cddiffsq[indx-p2]+cddiffsq[indx+m2]));
nyqtest -= nyqthresh*(gaussgrad[0]*(delhsq[indx]+delvsq[indx])+ \
gaussgrad[1]*(delhsq[indx-v1]+delvsq[indx-v1]+delhsq[indx+1]+delvsq[indx+1]+ \
delhsq[indx-1]+delvsq[indx-1]+delhsq[indx+v1]+delvsq[indx+v1])+ \
gaussgrad[2]*(delhsq[indx-m1]+delvsq[indx-m1]+delhsq[indx+p1]+delvsq[indx+p1]+ \
delhsq[indx-p1]+delvsq[indx-p1]+delhsq[indx+m1]+delvsq[indx+m1])+ \
gaussgrad[3]*(delhsq[indx-v2]+delvsq[indx-v2]+delhsq[indx-2]+delvsq[indx-2]+ \
delhsq[indx+2]+delvsq[indx+2]+delhsq[indx+v2]+delvsq[indx+v2])+ \
gaussgrad[4]*(delhsq[indx-2*TS-1]+delvsq[indx-2*TS-1]+delhsq[indx-2*TS+1]+delvsq[indx-2*TS+1]+ \
delhsq[indx-TS-2]+delvsq[indx-TS-2]+delhsq[indx-TS+2]+delvsq[indx-TS+2]+ \
delhsq[indx+TS-2]+delvsq[indx+TS-2]+delhsq[indx+TS+2]+delvsq[indx-TS+2]+ \
delhsq[indx+2*TS-1]+delvsq[indx+2*TS-1]+delhsq[indx+2*TS+1]+delvsq[indx+2*TS+1])+ \
gaussgrad[5]*(delhsq[indx-m2]+delvsq[indx-m2]+delhsq[indx+p2]+delvsq[indx+p2]+ \
delhsq[indx-p2]+delvsq[indx-p2]+delhsq[indx+m2]+delvsq[indx+m2]));
if (nyqtest>0) {nyquist[indx]=1;}//nyquist=1 for nyquist region
}
for (rr=8; rr<rr1-8; rr++)
for (cc=8+(FC(rr,2)&1),indx=rr*TS+cc; cc<cc1-8; cc+=2,indx+=2) {
areawt=(nyquist[indx-v2]+nyquist[indx-m1]+nyquist[indx+p1]+ \
nyquist[indx-2]+nyquist[indx]+nyquist[indx+2]+ \
nyquist[indx-p1]+nyquist[indx+m1]+nyquist[indx+v2]);
//if most of your neighbors are named Nyquist, it's likely that you're one too
if (areawt>4) nyquist[indx]=1;
//or not
if (areawt<4) nyquist[indx]=0;
}
//t2_nyqtest += clock() - t1_nyqtest;
// end of Nyquist test
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
// in areas of Nyquist texture, do area interpolation
//t1_areainterp = clock();
for (rr=8; rr<rr1-8; rr++)
for (cc=8+(FC(rr,2)&1),indx=rr*TS+cc; cc<cc1-8; cc+=2,indx+=2) {
if (nyquist[indx]) {
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
// area interpolation
sumh=sumv=sumsqh=sumsqv=areawt=0;
for (i=-6; i<7; i+=2)
for (j=-6; j<7; j+=2) {
indx1=(rr+i)*TS+cc+j;
if (nyquist[indx1]) {
sumh += cfa[indx1]-0.5*(cfa[indx1-1]+cfa[indx1+1]);
sumv += cfa[indx1]-0.5*(cfa[indx1-v1]+cfa[indx1+v1]);
sumsqh += 0.5*(SQR(cfa[indx1]-cfa[indx1-1])+SQR(cfa[indx1]-cfa[indx1+1]));
sumsqv += 0.5*(SQR(cfa[indx1]-cfa[indx1-v1])+SQR(cfa[indx1]-cfa[indx1+v1]));
areawt +=1;
}
}
//horizontal and vertical color differences, and adaptive weight
hcdvar=epssq+MAX(0, areawt*sumsqh-sumh*sumh);
vcdvar=epssq+MAX(0, areawt*sumsqv-sumv*sumv);
hvwt[indx]=hcdvar/(vcdvar+hcdvar);
// end of area interpolation
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
}
}
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
//t2_areainterp += clock() - t1_areainterp;
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
//populate G at R/B sites
for (rr=8; rr<rr1-8; rr++)
for (cc=8+(FC(rr,2)&1),indx=rr*TS+cc; cc<cc1-8; cc+=2,indx+=2) {
//first ask if one gets more directional discrimination from nearby B/R sites
hvwtalt = 0.25*(hvwt[indx-m1]+hvwt[indx+p1]+hvwt[indx-p1]+hvwt[indx+m1]);
vo=fabs(0.5-hvwt[indx]);
ve=fabs(0.5-hvwtalt);
if (vo<ve) {hvwt[indx]=hvwtalt;}//a better result was obtained from the neighbors
Dgrb[indx][0] = (hcd[indx]*(1-hvwt[indx]) + vcd[indx]*hvwt[indx]);//evaluate color differences
//if (hvwt[indx]<0.5) Dgrb[indx][0]=hcd[indx];
//if (hvwt[indx]>0.5) Dgrb[indx][0]=vcd[indx];
rgb[indx][1] = cfa[indx] + Dgrb[indx][0];//evaluate G (finally!)
//local curvature in G (preparation for nyquist refinement step)
if (nyquist[indx]) {
Dgrbh2[indx] = SQR(rgb[indx][1] - 0.5*(rgb[indx-1][1]+rgb[indx+1][1]));
Dgrbv2[indx] = SQR(rgb[indx][1] - 0.5*(rgb[indx-v1][1]+rgb[indx+v1][1]));
} else {
Dgrbh2[indx] = Dgrbv2[indx] = 0;
}
}
//end of standard interpolation
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
// refine Nyquist areas using G curvatures
for (rr=8; rr<rr1-8; rr++)
for (cc=8+(FC(rr,2)&1),indx=rr*TS+cc; cc<cc1-8; cc+=2,indx+=2) {
if (nyquist[indx]) {
//local averages (over Nyquist pixels only) of G curvature squared
gvarh = epssq + (gquinc[0]*Dgrbh2[indx]+ \
gquinc[1]*(Dgrbh2[indx-m1]+Dgrbh2[indx+p1]+Dgrbh2[indx-p1]+Dgrbh2[indx+m1])+ \
gquinc[2]*(Dgrbh2[indx-v2]+Dgrbh2[indx-2]+Dgrbh2[indx+2]+Dgrbh2[indx+v2])+ \
gquinc[3]*(Dgrbh2[indx-m2]+Dgrbh2[indx+p2]+Dgrbh2[indx-p2]+Dgrbh2[indx+m2]));
gvarv = epssq + (gquinc[0]*Dgrbv2[indx]+ \
gquinc[1]*(Dgrbv2[indx-m1]+Dgrbv2[indx+p1]+Dgrbv2[indx-p1]+Dgrbv2[indx+m1])+ \
gquinc[2]*(Dgrbv2[indx-v2]+Dgrbv2[indx-2]+Dgrbv2[indx+2]+Dgrbv2[indx+v2])+ \
gquinc[3]*(Dgrbv2[indx-m2]+Dgrbv2[indx+p2]+Dgrbv2[indx-p2]+Dgrbv2[indx+m2]));
//use the results as weights for refined G interpolation
Dgrb[indx][0] = (hcd[indx]*gvarv + vcd[indx]*gvarh)/(gvarv+gvarh);
rgb[indx][1] = cfa[indx] + Dgrb[indx][0];
}
}
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
//t1_diag = clock();
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
// diagonal interpolation correction
for (rr=8; rr<rr1-8; rr++)
for (cc=8+(FC(rr,2)&1),indx=rr*TS+cc; cc<cc1-8; cc+=2,indx+=2) {
rbvarp = epssq + (gausseven[0]*(Dgrbpsq1[indx-v1]+Dgrbpsq1[indx-1]+Dgrbpsq1[indx+1]+Dgrbpsq1[indx+v1]) + \
gausseven[1]*(Dgrbpsq1[indx-v2-1]+Dgrbpsq1[indx-v2+1]+Dgrbpsq1[indx-2-v1]+Dgrbpsq1[indx+2-v1]+ \
Dgrbpsq1[indx-2+v1]+Dgrbpsq1[indx+2+v1]+Dgrbpsq1[indx+v2-1]+Dgrbpsq1[indx+v2+1]));
/*rbvarp -= SQR( (gausseven[0]*(Dgrbp1[indx-v1]+Dgrbp1[indx-1]+Dgrbp1[indx+1]+Dgrbp1[indx+v1]) + \
gausseven[1]*(Dgrbp1[indx-v2-1]+Dgrbp1[indx-v2+1]+Dgrbp1[indx-2-v1]+Dgrbp1[indx+2-v1]+ \
Dgrbp1[indx-2+v1]+Dgrbp1[indx+2+v1]+Dgrbp1[indx+v2-1]+Dgrbp1[indx+v2+1])));*/
rbvarm = epssq + (gausseven[0]*(Dgrbmsq1[indx-v1]+Dgrbmsq1[indx-1]+Dgrbmsq1[indx+1]+Dgrbmsq1[indx+v1]) + \
gausseven[1]*(Dgrbmsq1[indx-v2-1]+Dgrbmsq1[indx-v2+1]+Dgrbmsq1[indx-2-v1]+Dgrbmsq1[indx+2-v1]+ \
Dgrbmsq1[indx-2+v1]+Dgrbmsq1[indx+2+v1]+Dgrbmsq1[indx+v2-1]+Dgrbmsq1[indx+v2+1]));
/*rbvarm -= SQR( (gausseven[0]*(Dgrbm1[indx-v1]+Dgrbm1[indx-1]+Dgrbm1[indx+1]+Dgrbm1[indx+v1]) + \
gausseven[1]*(Dgrbm1[indx-v2-1]+Dgrbm1[indx-v2+1]+Dgrbm1[indx-2-v1]+Dgrbm1[indx+2-v1]+ \
Dgrbm1[indx-2+v1]+Dgrbm1[indx+2+v1]+Dgrbm1[indx+v2-1]+Dgrbm1[indx+v2+1])));*/
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
//diagonal color ratios
crse=2*(cfa[indx+m1])/(eps+cfa[indx]+(cfa[indx+m2]));
crnw=2*(cfa[indx-m1])/(eps+cfa[indx]+(cfa[indx-m2]));
crne=2*(cfa[indx+p1])/(eps+cfa[indx]+(cfa[indx+p2]));
crsw=2*(cfa[indx-p1])/(eps+cfa[indx]+(cfa[indx-p2]));
//assign B/R at R/B sites
if (fabs(1-crse)<arthresh) {rbse=cfa[indx]*crse;}//use this if more precise diag interp is necessary
else {rbse=(cfa[indx+m1])+0.5*(cfa[indx]-cfa[indx+m2]);}
if (fabs(1-crnw)<arthresh) {rbnw=cfa[indx]*crnw;}
else {rbnw=(cfa[indx-m1])+0.5*(cfa[indx]-cfa[indx-m2]);}
if (fabs(1-crne)<arthresh) {rbne=cfa[indx]*crne;}
else {rbne=(cfa[indx+p1])+0.5*(cfa[indx]-cfa[indx+p2]);}
if (fabs(1-crsw)<arthresh) {rbsw=cfa[indx]*crsw;}
else {rbsw=(cfa[indx-p1])+0.5*(cfa[indx]-cfa[indx-p2]);}
wtse= eps+delm[indx]+delm[indx+m1]+delm[indx+m2];//same as for wtu,wtd,wtl,wtr
wtnw= eps+delm[indx]+delm[indx-m1]+delm[indx-m2];
wtne= eps+delp[indx]+delp[indx+p1]+delp[indx+p2];
wtsw= eps+delp[indx]+delp[indx-p1]+delp[indx-p2];
rbm[indx] = (wtse*rbnw+wtnw*rbse)/(wtse+wtnw);
rbp[indx] = (wtne*rbsw+wtsw*rbne)/(wtne+wtsw);
pmwt[indx] = rbvarm/(rbvarp+rbvarm);
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
//bound the interpolation in regions of high saturation
if (rbp[indx]<cfa[indx]) {
if (2*rbp[indx] < cfa[indx]) {
rbp[indx] = ULIM(rbp[indx] ,cfa[indx-p1],cfa[indx+p1]);
} else {
pwt = 2*(cfa[indx]-rbp[indx])/(eps+rbp[indx]+cfa[indx]);
rbp[indx]=pwt*rbp[indx] + (1-pwt)*ULIM(rbp[indx],cfa[indx-p1],cfa[indx+p1]);
}
}
if (rbm[indx]<cfa[indx]) {
if (2*rbm[indx] < cfa[indx]) {
rbm[indx] = ULIM(rbm[indx] ,cfa[indx-m1],cfa[indx+m1]);
} else {
mwt = 2*(cfa[indx]-rbm[indx])/(eps+rbm[indx]+cfa[indx]);
rbm[indx]=mwt*rbm[indx] + (1-mwt)*ULIM(rbm[indx],cfa[indx-m1],cfa[indx+m1]);
}
}
if (rbp[indx] > clip_pt) rbp[indx]=ULIM(rbp[indx],cfa[indx-p1],cfa[indx+p1]);//for RT implementation
if (rbm[indx] > clip_pt) rbm[indx]=ULIM(rbm[indx],cfa[indx-m1],cfa[indx+m1]);
//c=2-FC(rr,cc);//for dcraw implementation
//if (rbp[indx] > pre_mul[c]) rbp[indx]=ULIM(rbp[indx],cfa[indx-p1],cfa[indx+p1]);
//if (rbm[indx] > pre_mul[c]) rbm[indx]=ULIM(rbm[indx],cfa[indx-m1],cfa[indx+m1]);
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
//rbint[indx] = 0.5*(cfa[indx] + (rbp*rbvarm+rbm*rbvarp)/(rbvarp+rbvarm));//this is R+B, interpolated
}
for (rr=10; rr<rr1-10; rr++)
for (cc=10+(FC(rr,2)&1),indx=rr*TS+cc; cc<cc1-10; cc+=2,indx+=2) {
//first ask if one gets more directional discrimination from nearby B/R sites
pmwtalt = 0.25*(pmwt[indx-m1]+pmwt[indx+p1]+pmwt[indx-p1]+pmwt[indx+m1]);
vo=fabs(0.5-pmwt[indx]);
ve=fabs(0.5-pmwtalt);
if (vo<ve) {pmwt[indx]=pmwtalt;}//a better result was obtained from the neighbors
rbint[indx] = 0.5*(cfa[indx] + rbm[indx]*(1-pmwt[indx]) + rbp[indx]*pmwt[indx]);//this is R+B, interpolated
}
for (rr=12; rr<rr1-12; rr++)
for (cc=12+(FC(rr,2)&1),indx=rr*TS+cc; cc<cc1-12; cc+=2,indx+=2) {
if (fabs(0.5-pmwt[indx])<fabs(0.5-hvwt[indx]) ) continue;
//now interpolate G vertically/horizontally using R+B values
//unfortunately, since G interpolation cannot be done diagonally this may lead to color shifts
//color ratios for G interpolation
cru = cfa[indx-v1]*2/(eps+rbint[indx]+rbint[indx-v2]);
crd = cfa[indx+v1]*2/(eps+rbint[indx]+rbint[indx+v2]);
crl = cfa[indx-1]*2/(eps+rbint[indx]+rbint[indx-2]);
crr = cfa[indx+1]*2/(eps+rbint[indx]+rbint[indx+2]);
//interpolated G via adaptive ratios or Hamilton-Adams in each cardinal direction
if (fabs(1-cru)<arthresh) {gu=rbint[indx]*cru;}
else {gu=cfa[indx-v1]+0.5*(rbint[indx]-rbint[indx-v2]);}
if (fabs(1-crd)<arthresh) {gd=rbint[indx]*crd;}
else {gd=cfa[indx+v1]+0.5*(rbint[indx]-rbint[indx+v2]);}
if (fabs(1-crl)<arthresh) {gl=rbint[indx]*crl;}
else {gl=cfa[indx-1]+0.5*(rbint[indx]-rbint[indx-2]);}
if (fabs(1-crr)<arthresh) {gr=rbint[indx]*crr;}
else {gr=cfa[indx+1]+0.5*(rbint[indx]-rbint[indx+2]);}
//gu=rbint[indx]*cru;
//gd=rbint[indx]*crd;
//gl=rbint[indx]*crl;
//gr=rbint[indx]*crr;
//interpolated G via adaptive weights of cardinal evaluations
Gintv = (dirwts[indx-v1][0]*gd+dirwts[indx+v1][0]*gu)/(dirwts[indx+v1][0]+dirwts[indx-v1][0]);
Ginth = (dirwts[indx-1][1]*gr+dirwts[indx+1][1]*gl)/(dirwts[indx-1][1]+dirwts[indx+1][1]);
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
//bound the interpolation in regions of high saturation
if (Gintv<rbint[indx]) {
if (2*Gintv < rbint[indx]) {
Gintv = ULIM(Gintv ,cfa[indx-v1],cfa[indx+v1]);
} else {
vwt = 2*(rbint[indx]-Gintv)/(eps+Gintv+rbint[indx]);
Gintv=vwt*Gintv + (1-vwt)*ULIM(Gintv,cfa[indx-v1],cfa[indx+v1]);
}
}
if (Ginth<rbint[indx]) {
if (2*Ginth < rbint[indx]) {
Ginth = ULIM(Ginth ,cfa[indx-1],cfa[indx+1]);
} else {
hwt = 2*(rbint[indx]-Ginth)/(eps+Ginth+rbint[indx]);
Ginth=hwt*Ginth + (1-hwt)*ULIM(Ginth,cfa[indx-1],cfa[indx+1]);
}
}
if (Ginth > clip_pt) Ginth=ULIM(Ginth,cfa[indx-1],cfa[indx+1]);//for RT implementation
if (Gintv > clip_pt) Gintv=ULIM(Gintv,cfa[indx-v1],cfa[indx+v1]);
//c=FC(rr,cc);//for dcraw implementation
//if (Ginth > pre_mul[c]) Ginth=ULIM(Ginth,cfa[indx-1],cfa[indx+1]);
//if (Gintv > pre_mul[c]) Gintv=ULIM(Gintv,cfa[indx-v1],cfa[indx+v1]);
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
rgb[indx][1] = Ginth*(1-hvwt[indx]) + Gintv*hvwt[indx];
//rgb[indx][1] = 0.5*(rgb[indx][1]+0.25*(rgb[indx-v1][1]+rgb[indx+v1][1]+rgb[indx-1][1]+rgb[indx+1][1]));
Dgrb[indx][0] = rgb[indx][1]-cfa[indx];
//rgb[indx][2-FC(rr,cc)]=2*rbint[indx]-cfa[indx];
}
//end of diagonal interpolation correction
//t2_diag += clock() - t1_diag;
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
//t1_chroma = clock();
//fancy chrominance interpolation
//(ey,ex) is location of R site
for (rr=13-ey; rr<rr1-12; rr+=2)
for (cc=13-ex,indx=rr*TS+cc; cc<cc1-12; cc+=2,indx+=2) {//B coset
Dgrb[indx][1]=Dgrb[indx][0];//split out G-B from G-R
Dgrb[indx][0]=0;
}
for (rr=12; rr<rr1-12; rr++)
for (cc=12+(FC(rr,2)&1),indx=rr*TS+cc,c=1-FC(rr,cc)/2; cc<cc1-12; cc+=2,indx+=2) {
wtnw=1.0/(eps+fabs(Dgrb[indx-m1][c]-Dgrb[indx+m1][c])+fabs(Dgrb[indx-m1][c]-Dgrb[indx-m3][c])+fabs(Dgrb[indx+m1][c]-Dgrb[indx-m3][c]));
wtne=1.0/(eps+fabs(Dgrb[indx+p1][c]-Dgrb[indx-p1][c])+fabs(Dgrb[indx+p1][c]-Dgrb[indx+p3][c])+fabs(Dgrb[indx-p1][c]-Dgrb[indx+p3][c]));
wtsw=1.0/(eps+fabs(Dgrb[indx-p1][c]-Dgrb[indx+p1][c])+fabs(Dgrb[indx-p1][c]-Dgrb[indx+m3][c])+fabs(Dgrb[indx+p1][c]-Dgrb[indx-p3][c]));
wtse=1.0/(eps+fabs(Dgrb[indx+m1][c]-Dgrb[indx-m1][c])+fabs(Dgrb[indx+m1][c]-Dgrb[indx-p3][c])+fabs(Dgrb[indx-m1][c]-Dgrb[indx+m3][c]));
//Dgrb[indx][c]=(wtnw*Dgrb[indx-m1][c]+wtne*Dgrb[indx+p1][c]+wtsw*Dgrb[indx-p1][c]+wtse*Dgrb[indx+m1][c])/(wtnw+wtne+wtsw+wtse);
Dgrb[indx][c]=(wtnw*(1.325*Dgrb[indx-m1][c]-0.175*Dgrb[indx-m3][c]-0.075*Dgrb[indx-m1-2][c]-0.075*Dgrb[indx-m1-v2][c] )+ \
wtne*(1.325*Dgrb[indx+p1][c]-0.175*Dgrb[indx+p3][c]-0.075*Dgrb[indx+p1+2][c]-0.075*Dgrb[indx+p1+v2][c] )+ \
wtsw*(1.325*Dgrb[indx-p1][c]-0.175*Dgrb[indx-p3][c]-0.075*Dgrb[indx-p1-2][c]-0.075*Dgrb[indx-p1-v2][c] )+ \
wtse*(1.325*Dgrb[indx+m1][c]-0.175*Dgrb[indx+m3][c]-0.075*Dgrb[indx+m1+2][c]-0.075*Dgrb[indx+m1+v2][c] ))/(wtnw+wtne+wtsw+wtse);
}
for (rr=12; rr<rr1-12; rr++)
for (cc=12+(FC(rr,1)&1),indx=rr*TS+cc,c=FC(rr,cc+1)/2; cc<cc1-12; cc+=2,indx+=2)
for(c=0;c<2;c++){
Dgrb[indx][c]=((hvwt[indx-v1])*Dgrb[indx-v1][c]+(1-hvwt[indx+1])*Dgrb[indx+1][c]+(1-hvwt[indx-1])*Dgrb[indx-1][c]+(hvwt[indx+v1])*Dgrb[indx+v1][c])/ \
((hvwt[indx-v1])+(1-hvwt[indx+1])+(1-hvwt[indx-1])+(hvwt[indx+v1]));
}
for(rr=12; rr<rr1-12; rr++)
for(cc=12,indx=rr*TS+cc; cc<cc1-12; cc++,indx++){
rgb[indx][0]=(rgb[indx][1]-Dgrb[indx][0]);
rgb[indx][2]=(rgb[indx][1]-Dgrb[indx][1]);
}
//t2_chroma += clock() - t1_chroma;
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
// copy smoothed results back to image matrix
for (rr=16; rr < rr1-16; rr++)
for (row=rr+top, cc=16; cc < cc1-16; cc++) {
col = cc + left;
indx=rr*TS+cc;
red[row][col] = CLIP((int)(65535.0f*rgb[indx][0] + 0.5f));
green[row][col] = CLIP((int)(65535.0f*rgb[indx][1] + 0.5f));
blue[row][col] = CLIP((int)(65535.0f*rgb[indx][2] + 0.5f));
//for dcraw implementation
//for (c=0; c<3; c++){
// image[indx][c] = CLIP((int)(65535.0f*rgb[rr*TS+cc][c] + 0.5f));
//}
}
//end of main loop
// clean up
//free(buffer);
progress+=(double)((TS-32)*(TS-32))/(height*width);
if (progress>1.0)
{
progress=1.0;
}
if(plistener) plistener->setProgress(progress);
}
// %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
// clean up
free(buffer);
}
// done
#undef TS
}
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