summaryrefslogtreecommitdiffstats
path: root/src/libs/lprof/cmsmkmsh.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/libs/lprof/cmsmkmsh.cpp')
-rw-r--r--src/libs/lprof/cmsmkmsh.cpp346
1 files changed, 346 insertions, 0 deletions
diff --git a/src/libs/lprof/cmsmkmsh.cpp b/src/libs/lprof/cmsmkmsh.cpp
new file mode 100644
index 00000000..c0e3d4c3
--- /dev/null
+++ b/src/libs/lprof/cmsmkmsh.cpp
@@ -0,0 +1,346 @@
+/* */
+/* Little cms - profiler construction set */
+/* Copyright (C) 1998-2001 Marti Maria <[email protected]> */
+/* */
+/* THIS SOFTWARE IS PROVIDED "AS-IS" AND WITHOUT WARRANTY OF ANY KIND, */
+/* EXPRESS, IMPLIED OR OTHERWISE, INCLUDING WITHOUT LIMITATION, ANY */
+/* WARRANTY OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. */
+/* */
+/* IN NO EVENT SHALL MARTI MARIA BE LIABLE FOR ANY SPECIAL, INCIDENTAL, */
+/* INDIRECT OR CONSEQUENTIAL DAMAGES OF ANY KIND, */
+/* OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, */
+/* WHETHER OR NOT ADVISED OF THE POSSIBILITY OF DAMAGE, AND ON ANY THEORY OF */
+/* LIABILITY, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE */
+/* OF THIS SOFTWARE. */
+/* */
+/* This file 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 2 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, write to the Free Software */
+/* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. */
+/* */
+/* As a special exception to the GNU General Public License, if you */
+/* distribute this file as part of a program that contains a */
+/* configuration script generated by Autoconf, you may include it under */
+/* the same distribution terms that you use for the rest of that program. */
+/* */
+/* Version 1.08a */
+
+
+#include "lcmsprf.h"
+
+
+BOOL cdecl cmsxComputeMatrixShaper(const char* ReferenceSheet,
+ const char* MeasurementSheet,
+ int Medium,
+ LPGAMMATABLE TransferCurves[3],
+ LPcmsCIEXYZ WhitePoint,
+ LPcmsCIEXYZ BlackPoint,
+ LPcmsCIExyYTRIPLE Primaries);
+
+
+
+/* ------------------------------------------------------------- Implementation */
+
+
+static
+void Div100(LPcmsCIEXYZ xyz)
+{
+ xyz -> X /= 100; xyz -> Y /= 100; xyz -> Z /= 100;
+}
+
+
+
+/* Compute endpoints */
+
+static
+BOOL ComputeWhiteAndBlackPoints(LPMEASUREMENT Linearized,
+ LPGAMMATABLE TransferCurves[3],
+ LPcmsCIEXYZ Black, LPcmsCIEXYZ White)
+{
+
+ double Zeroes[3], Ones[3], lmin[3], lmax[3];
+
+ SETOFPATCHES Neutrals = cmsxPCollBuildSet(Linearized, false);
+
+ cmsxPCollPatchesNearNeutral(Linearized, Linearized->Allowed,
+ 15, Neutrals);
+
+ Zeroes[0] = Zeroes[1] = Zeroes[2] = 0.0;
+ Ones[0] = Ones[1] = Ones[2] = 255.0;
+
+
+ cmsxApplyLinearizationTable(Zeroes, TransferCurves, lmin);
+ cmsxApplyLinearizationTable(Ones, TransferCurves, lmax);
+
+
+ /* Global regression to find White & Black points */
+ if (!cmsxRegressionInterpolatorRGB(Linearized, PT_XYZ,
+ 4,
+ true,
+ 12,
+ lmin[0], lmin[1], lmin[2],
+ Black)) return false;
+
+ if (!cmsxRegressionInterpolatorRGB(Linearized, PT_XYZ,
+ 4,
+ true,
+ 12,
+ lmax[0], lmax[1], lmax[2],
+ White)) return false;
+
+ _cmsxClampXYZ100(White);
+ _cmsxClampXYZ100(Black);
+
+ return true;
+
+}
+
+
+/* Study convergence of primary axis */
+
+static
+BOOL ComputePrimary(LPMEASUREMENT Linearized,
+ LPGAMMATABLE TransferCurves[3],
+ int n,
+ LPcmsCIExyY Primary)
+{
+
+ double Ones[3], lmax[3];
+ cmsCIEXYZ PrimXYZ;
+ SETOFPATCHES SetPrimary;
+ int nR;
+
+
+ /* At first, try to see if primaries are already in measurement */
+
+ SetPrimary = cmsxPCollBuildSet(Linearized, false);
+ nR = cmsxPCollPatchesNearPrimary(Linearized, Linearized->Allowed,
+ n, 32, SetPrimary);
+
+ Ones[0] = Ones[1] = Ones[2] = 0;
+ Ones[n] = 255.0;
+
+ cmsxApplyLinearizationTable(Ones, TransferCurves, lmax);
+
+ /* Do incremental regression to find primaries */
+ if (!cmsxRegressionInterpolatorRGB(Linearized, PT_XYZ,
+ 4,
+ false,
+ 12,
+ lmax[0], lmax[1], lmax[2],
+ &PrimXYZ)) return false;
+
+ _cmsxClampXYZ100(&PrimXYZ);
+ cmsXYZ2xyY(Primary, &PrimXYZ);
+ return true;
+
+
+}
+
+
+
+/* Does compute a matrix-shaper based on patches. */
+
+static
+double Clip(double d)
+{
+ return d > 0 ? d: 0;
+}
+
+
+BOOL cmsxComputeMatrixShaper(const char* ReferenceSheet,
+ const char* MeasurementSheet,
+ int Medium,
+ LPGAMMATABLE TransferCurves[3],
+ LPcmsCIEXYZ WhitePoint,
+ LPcmsCIEXYZ BlackPoint,
+ LPcmsCIExyYTRIPLE Primaries)
+{
+
+ MEASUREMENT Linearized;
+ cmsCIEXYZ Black, White;
+ cmsCIExyYTRIPLE PrimarySet;
+ LPPATCH PatchWhite, PatchBlack;
+ LPPATCH PatchRed, PatchGreen, PatchBlue;
+ double Distance;
+
+ /* Load sheets */
+
+ if (!cmsxPCollBuildMeasurement(&Linearized,
+ ReferenceSheet,
+ MeasurementSheet,
+ PATCH_HAS_XYZ|PATCH_HAS_RGB)) return false;
+
+
+
+ /* Any patch to deal of? */
+ if (cmsxPCollCountSet(&Linearized, Linearized.Allowed) <= 0) return false;
+
+
+ /* Try to see if proper primaries, white and black already present */
+ PatchWhite = cmsxPCollFindWhite(&Linearized, Linearized.Allowed, &Distance);
+ if (Distance != 0)
+ PatchWhite = NULL;
+
+ PatchBlack = cmsxPCollFindBlack(&Linearized, Linearized.Allowed, &Distance);
+ if (Distance != 0)
+ PatchBlack = NULL;
+
+ PatchRed = cmsxPCollFindPrimary(&Linearized, Linearized.Allowed, 0, &Distance);
+ if (Distance != 0)
+ PatchRed = NULL;
+
+ PatchGreen = cmsxPCollFindPrimary(&Linearized, Linearized.Allowed, 1, &Distance);
+ if (Distance != 0)
+ PatchGreen = NULL;
+
+ PatchBlue = cmsxPCollFindPrimary(&Linearized, Linearized.Allowed, 2, &Distance);
+ if (Distance != 0)
+ PatchBlue= NULL;
+
+ /* If we got primaries, then we can also get prelinearization */
+ /* by Levenberg-Marquardt. This applies on monitor profiles */
+
+ if (PatchWhite && PatchRed && PatchGreen && PatchBlue) {
+
+ /* Build matrix with primaries */
+
+ MAT3 Mat, MatInv;
+ LPSAMPLEDCURVE Xr,Yr, Xg, Yg, Xb, Yb;
+ int i, nRes, cnt;
+
+ VEC3init(&Mat.v[0], PatchRed->XYZ.X, PatchGreen->XYZ.X, PatchBlue->XYZ.X);
+ VEC3init(&Mat.v[1], PatchRed->XYZ.Y, PatchGreen->XYZ.Y, PatchBlue->XYZ.Y);
+ VEC3init(&Mat.v[2], PatchRed->XYZ.Z, PatchGreen->XYZ.Z, PatchBlue->XYZ.Z);
+
+ /* Invert matrix */
+ MAT3inverse(&Mat, &MatInv);
+
+ nRes = cmsxPCollCountSet(&Linearized, Linearized.Allowed);
+
+ Xr = cmsAllocSampledCurve(nRes);
+ Yr = cmsAllocSampledCurve(nRes);
+ Xg = cmsAllocSampledCurve(nRes);
+ Yg = cmsAllocSampledCurve(nRes);
+ Xb = cmsAllocSampledCurve(nRes);
+ Yb = cmsAllocSampledCurve(nRes);
+
+ /* Convert XYZ of all patches to RGB */
+ cnt = 0;
+ for (i=0; i < Linearized.nPatches; i++) {
+
+ if (Linearized.Allowed[i]) {
+
+ VEC3 RGBprime, XYZ;
+ LPPATCH p;
+
+ p = Linearized.Patches + i;
+ XYZ.n[0] = p -> XYZ.X;
+ XYZ.n[1] = p -> XYZ.Y;
+ XYZ.n[2] = p -> XYZ.Z;
+
+ MAT3eval(&RGBprime, &MatInv, &XYZ);
+
+ Xr ->Values[cnt] = p ->Colorant.RGB[0];
+ Yr ->Values[cnt] = Clip(RGBprime.n[0]);
+
+ Xg ->Values[cnt] = p ->Colorant.RGB[1];
+ Yg ->Values[cnt] = Clip(RGBprime.n[1]);
+
+ Xb ->Values[cnt] = p ->Colorant.RGB[2];
+ Yb ->Values[cnt] = Clip(RGBprime.n[2]);
+
+ cnt++;
+
+ }
+ }
+
+ TransferCurves[0] = cmsxEstimateGamma(Xr, Yr, 1024);
+ TransferCurves[1] = cmsxEstimateGamma(Xg, Yg, 1024);
+ TransferCurves[2] = cmsxEstimateGamma(Xb, Yb, 1024);
+
+ if (WhitePoint) {
+
+ WhitePoint->X = PatchWhite->XYZ.X;
+ WhitePoint->Y= PatchWhite ->XYZ.Y;
+ WhitePoint->Z= PatchWhite ->XYZ.Z;
+ }
+
+ if (BlackPoint && PatchBlack) {
+
+ BlackPoint->X = PatchBlack ->XYZ.X;
+ BlackPoint->Y = PatchBlack ->XYZ.Y;
+ BlackPoint->Z = PatchBlack ->XYZ.Z;
+ }
+
+ if (Primaries) {
+
+ cmsXYZ2xyY(&Primaries->Red, &PatchRed ->XYZ);
+ cmsXYZ2xyY(&Primaries->Green, &PatchGreen ->XYZ);
+ cmsXYZ2xyY(&Primaries->Blue, &PatchBlue ->XYZ);
+
+ }
+
+
+ cmsFreeSampledCurve(Xr);
+ cmsFreeSampledCurve(Yr);
+ cmsFreeSampledCurve(Xg);
+ cmsFreeSampledCurve(Yg);
+ cmsFreeSampledCurve(Xb);
+ cmsFreeSampledCurve(Yb);
+
+ cmsxPCollFreeMeasurements(&Linearized);
+
+ return true;
+ }
+
+
+
+
+ /* Compute prelinearization */
+ cmsxComputeLinearizationTables(&Linearized, PT_XYZ, TransferCurves, 1024, Medium);
+
+ /* Linearize measurements */
+ cmsxPCollLinearizePatches(&Linearized, Linearized.Allowed, TransferCurves);
+
+
+ /* Endpoints */
+ ComputeWhiteAndBlackPoints(&Linearized, TransferCurves, &Black, &White);
+
+ /* Primaries */
+ ComputePrimary(&Linearized, TransferCurves, 0, &PrimarySet.Red);
+ ComputePrimary(&Linearized, TransferCurves, 1, &PrimarySet.Green);
+ ComputePrimary(&Linearized, TransferCurves, 2, &PrimarySet.Blue);
+
+
+ if (BlackPoint) {
+ *BlackPoint = Black;
+ Div100(BlackPoint);
+ }
+
+ if (WhitePoint) {
+ *WhitePoint = White;
+ Div100(WhitePoint);
+ }
+
+
+ if (Primaries) {
+ *Primaries = PrimarySet;
+ }
+
+ cmsxPCollFreeMeasurements(&Linearized);
+
+ return true;
+}
+
+
+