/*
 *  This file is part of RawTherapee.
 *
 *  Copyright (c) 2004-2010 Gabor Horvath <hgabor@rawtherapee.com>
 *
 *  RawTherapee 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.
 *
 *  RawTherapee 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 RawTherapee.  If not, see <https://www.gnu.org/licenses/>.
 */

#include "bilateral2.h"
#include "cieimage.h"
#include "gauss.h"
#include "improcfun.h"
#include "jaggedarray.h"
#include "labimage.h"
#include "opthelper.h"
#include "procparams.h"
#include "rt_algo.h"
#include "rt_math.h"
#include "settings.h"
#include "sleef.h"

//#define BENCHMARK
#include "StopWatch.h"

using namespace std;

namespace {

void sharpenHaloCtrl (float** luminance, float** blurmap, float** base, float** blend, int W, int H, const procparams::SharpeningParams &sharpenParam)
{

    const float scale = (100.f - sharpenParam.halocontrol_amount) * 0.01f;
    const float sharpFac = sharpenParam.amount * 0.01f;
    float** nL = base;

#ifdef _OPENMP
    #pragma omp parallel for
#endif

    for (int i = 2; i < H - 2; i++) {
        float max1 = 0, max2 = 0, min1 = 0, min2 = 0;

        for (int j = 2; j < W - 2; j++) {
            // compute 3 iterations, only forward
            float np1 = 2.f * (nL[i - 2][j] + nL[i - 2][j + 1] + nL[i - 2][j + 2] + nL[i - 1][j] + nL[i - 1][j + 1] + nL[i - 1][j + 2] + nL[i]  [j] + nL[i]  [j + 1] + nL[i]  [j + 2]) / 27.f + nL[i - 1][j + 1] / 3.f;
            float np2 = 2.f * (nL[i - 1][j] + nL[i - 1][j + 1] + nL[i - 1][j + 2] + nL[i]  [j] + nL[i]  [j + 1] + nL[i]  [j + 2] + nL[i + 1][j] + nL[i + 1][j + 1] + nL[i + 1][j + 2]) / 27.f + nL[i]  [j + 1] / 3.f;
            float np3 = 2.f * (nL[i]  [j] + nL[i]  [j + 1] + nL[i]  [j + 2] + nL[i + 1][j] + nL[i + 1][j + 1] + nL[i + 1][j + 2] + nL[i + 2][j] + nL[i + 2][j + 1] + nL[i + 2][j + 2]) / 27.f + nL[i + 1][j + 1] / 3.f;

            // Max/Min of all these deltas and the last two max/min
            float maxn = rtengine::max(np1, np2, np3);
            float minn = rtengine::min(np1, np2, np3);
            float max_ = rtengine::max(max1, max2, maxn);
            float min_ = rtengine::min(min1, min2, minn);

            // Shift the queue
            max1 = max2;
            max2 = maxn;
            min1 = min2;
            min2 = minn;
            float labL = luminance[i][j];

            if (max_ < labL) {
                max_ = labL;
            }

            if (min_ > labL) {
                min_ = labL;
            }

            // deviation from the environment as measurement
            float diff = nL[i][j] - blurmap[i][j];

            constexpr float upperBound = 2000.f;  // WARNING: Duplicated value, it's baaaaaad !
            float delta = sharpenParam.threshold.multiply<float, float, float>(
                              rtengine::min(fabsf(diff), upperBound),   // X axis value = absolute value of the difference
                              sharpFac * diff               // Y axis max value = sharpening.amount * signed difference
                          );
            float newL = labL + delta;

            // applying halo control
            if (newL > max_) {
                newL = max_ + (newL - max_) * scale;
            } else if (newL < min_) {
                newL = min_ - (min_ - newL) * scale;
            }

            luminance[i][j] = intp(blend[i][j], newL, luminance[i][j]);
        }
    }
}

void dcdamping (float** aI, float** aO, float damping, int W, int H)
{

    const float dampingFac = -2.f / (damping * damping);

#ifdef __SSE2__
    vfloat Iv, Ov, Uv, zerov, onev, fourv, fivev, dampingFacv, Tv, Wv, Lv;
    zerov = _mm_setzero_ps();
    onev = F2V(1.f);
    fourv = F2V(4.f);
    fivev = F2V(5.f);
    dampingFacv = F2V(dampingFac);
#endif
#ifdef _OPENMP
    #pragma omp for
#endif

    for (int i = 0; i < H; i++) {
        int j = 0;
#ifdef __SSE2__

        for (; j < W - 3; j += 4) {
            Iv = LVFU(aI[i][j]);
            Ov = LVFU(aO[i][j]);
            Lv = xlogf(Iv / Ov);
            Wv = Ov - Iv;
            Uv = (Ov * Lv + Wv) * dampingFacv;
            Uv = vminf(Uv, onev);
            Tv = Uv * Uv;
            Tv = Tv * Tv;
            Uv = Tv * (fivev - Uv * fourv);
            Uv = (Wv / Iv) * Uv + onev;
            Uv = vselfzero(vmaskf_gt(Iv, zerov), Uv);
            Uv = vselfzero(vmaskf_gt(Ov, zerov), Uv);
            STVFU(aI[i][j], Uv);
        }

#endif

        for(; j < W; j++) {
            float I = aI[i][j];
            float O = aO[i][j];

            if (O <= 0.f || I <= 0.f) {
                aI[i][j] = 0.f;
                continue;
            }

            float U = (O * xlogf(I / O) - I + O) * dampingFac;
            U = rtengine::min(U, 1.0f);
            U = U * U * U * U * (5.f - U * 4.f);
            aI[i][j] = (O - I) / I * U + 1.f;
        }
    }
}

}

namespace rtengine
{

void ImProcFunctions::deconvsharpening (float** luminance, float** tmp, const float * const * blend, int W, int H, const procparams::SharpeningParams &sharpenParam, double Scale)
{
    if (sharpenParam.deconvamount == 0 && sharpenParam.blurradius < 0.25) {
        return;
    }
BENCHFUN
    JaggedArray<float> tmpI(W, H);

#ifdef _OPENMP
    #pragma omp parallel for
#endif
    for (int i = 0; i < H; i++) {
        for(int j = 0; j < W; j++) {
            tmpI[i][j] = max(luminance[i][j], 0.f);
        }
    }

    JaggedArray<float>* blurbuffer = nullptr;

    if (sharpenParam.blurradius >= 0.25) {
        blurbuffer = new JaggedArray<float>(W, H);
        JaggedArray<float> &blur = *blurbuffer;
#ifdef _OPENMP
        #pragma omp parallel
#endif
        {
            gaussianBlur(tmpI, blur, W, H, sharpenParam.blurradius);
#ifdef _OPENMP
            #pragma omp for
#endif
            for (int i = 0; i < H; ++i) {
                for (int j = 0; j < W; ++j) {
                    blur[i][j] = intp(blend[i][j], luminance[i][j], std::max(blur[i][j], 0.0f));
                }
            }
        }
    }
    const float damping = sharpenParam.deconvdamping / 5.0;
    const bool needdamp = sharpenParam.deconvdamping > 0;
    const double sigma = sharpenParam.deconvradius / Scale;
    const float amount = sharpenParam.deconvamount / 100.f;

#ifdef _OPENMP
    #pragma omp parallel
#endif
    {
        for (int k = 0; k < sharpenParam.deconviter; k++) {
            if (!needdamp) {
                // apply gaussian blur and divide luminance by result of gaussian blur
                gaussianBlur(tmpI, tmp, W, H, sigma, false, GAUSS_DIV, luminance);
            } else {
                // apply gaussian blur + damping
                gaussianBlur(tmpI, tmp, W, H, sigma);
                dcdamping(tmp, luminance, damping, W, H);
            }
            gaussianBlur(tmp, tmpI, W, H, sigma, false, GAUSS_MULT);
        } // end for

#ifdef _OPENMP
        #pragma omp for
#endif

        for (int i = 0; i < H; ++i) {
            for (int j = 0; j < W; ++j) {
                luminance[i][j] = intp(blend[i][j] * amount, max(tmpI[i][j], 0.0f), luminance[i][j]);
            }
        }

        if (sharpenParam.blurradius >= 0.25) {
            JaggedArray<float> &blur = *blurbuffer;
#ifdef _OPENMP
        #pragma omp for
#endif
            for (int i = 0; i < H; ++i) {
                for (int j = 0; j < W; ++j) {
                    luminance[i][j] = intp(blend[i][j], luminance[i][j], max(blur[i][j], 0.0f));
                }
            }
        }
    } // end parallel
    delete blurbuffer;
}

void ImProcFunctions::deconvsharpeningloc (float** luminance, float** tmp, int W, int H, float** loctemp, int damp, double radi, int ite, int amo, int contrast, double blurrad, int sk)
{
    // BENCHFUN

    if (amo < 1) {
        return;
    }
    JaggedArray<float> blend(W, H);
    float contras = contrast / 100.f;
    buildBlendMask(luminance, blend, W, H, contras, 1.f);


    JaggedArray<float> tmpI(W, H);


#ifdef _OPENMP
    #pragma omp parallel for
#endif
    for (int i = 0; i < H; i++) {
        for (int j = 0; j < W; j++) {
            tmpI[i][j] = max(luminance[i][j], 0.f);
        }
    }

    // calculate contrast based blend factors to reduce sharpening in regions with low contrast

    JaggedArray<float>* blurbuffer = nullptr;

    if (blurrad >= 0.25) {
        blurbuffer = new JaggedArray<float>(W, H);
        JaggedArray<float> &blur = *blurbuffer;
#ifdef _OPENMP
        #pragma omp parallel
#endif
        {
            gaussianBlur(tmpI, blur, W, H, blurrad);
#ifdef _OPENMP
            #pragma omp for
#endif
            for (int i = 0; i < H; ++i) {
                for (int j = 0; j < W; ++j) {
                    blur[i][j] = intp(blend[i][j], luminance[i][j], std::max(blur[i][j], 0.0f));
                }
            }
        }
    }

    float damping = (float) damp / 5.0;
    bool needdamp = damp > 0;
    double sigma = radi / sk;
    const float amount = (float) amo / 100.f;

    if (sigma < 0.26f) {
        sigma = 0.26f;
    }

    int itera = ite;

#ifdef _OPENMP
    #pragma omp parallel
#endif
    {
        for (int k = 0; k < itera; k++) {
            if (!needdamp) {
                // apply gaussian blur and divide luminance by result of gaussian blur
            //    gaussianBlur (tmpI, tmp, W, H, sigma, nullptr, GAUSS_DIV, luminance);
                gaussianBlur(tmpI, tmp, W, H, sigma, false, GAUSS_DIV, luminance);
            } else {
                // apply gaussian blur + damping
                gaussianBlur (tmpI, tmp, W, H, sigma);
                dcdamping (tmp, luminance, damping, W, H);
            }

            gaussianBlur (tmp, tmpI, W, H, sigma, false, GAUSS_MULT);
        } // end for


#ifdef _OPENMP
        #pragma omp for
#endif

        for (int i = 0; i < H; i++)
            for (int j = 0; j < W; j++) {
                loctemp[i][j] = intp(blend[i][j] * amount, max(tmpI[i][j], 0.0f), luminance[i][j]);
            }
            
        if (blurrad >= 0.25) {
            JaggedArray<float> &blur = *blurbuffer;
#ifdef _OPENMP
        #pragma omp for
#endif
            for (int i = 0; i < H; ++i) {
                for (int j = 0; j < W; ++j) {
                    loctemp[i][j] = intp(blend[i][j], loctemp[i][j], max(blur[i][j], 0.0f));
                }
            }
        }
            
    } // end parallel
    delete blurbuffer;


}

void ImProcFunctions::sharpening (LabImage* lab, const procparams::SharpeningParams &sharpenParam, bool showMask)
{

    if ((!sharpenParam.enabled) || sharpenParam.amount < 1 || lab->W < 8 || lab->H < 8) {
        return;
    }

    int W = lab->W, H = lab->H;

    // calculate contrast based blend factors to reduce sharpening in regions with low contrast
    JaggedArray<float> blend(W, H);
    float contrast = sharpenParam.contrast / 100.0;
    buildBlendMask(lab->L, blend, W, H, contrast);

    if(showMask) {
#ifdef _OPENMP
        #pragma omp parallel for
#endif

        for (int i = 0; i < H; ++i) {
            for (int j = 0; j < W; ++j) {
                lab->L[i][j] = blend[i][j] * 32768.f;
            }
        }
        return;
    }

    JaggedArray<float> b2(W, H);

    if (sharpenParam.method == "rld") {
        deconvsharpening (lab->L, b2, blend, lab->W, lab->H, sharpenParam, scale);
        return;
    }
BENCHFUN

    // Rest is UNSHARP MASK
    float** b3 = nullptr;

    if (sharpenParam.edgesonly) {
        b3 = new float*[H];

        for (int i = 0; i < H; i++) {
            b3[i] = new float[W];
        }
    }

    JaggedArray<float> blur(W, H);

    if (sharpenParam.blurradius >= 0.25) {
#ifdef _OPENMP
        #pragma omp parallel
#endif
        {
            gaussianBlur(lab->L, blur, W, H, sharpenParam.blurradius);
#ifdef _OPENMP
            #pragma omp for
#endif
            for (int i = 0; i < H; ++i) {
                for (int j = 0; j < W; ++j) {
                    blur[i][j] = intp(blend[i][j], lab->L[i][j], std::max(blur[i][j], 0.0f));
                }
            }
        }
    }


#ifdef _OPENMP
    #pragma omp parallel
#endif
    {

        if (!sharpenParam.edgesonly) {
            gaussianBlur (lab->L, b2, W, H, sharpenParam.radius / scale);
        } else {
            bilateral<float, float> (lab->L, (float**)b3, b2, W, H, sharpenParam.edges_radius / scale, sharpenParam.edges_tolerance, multiThread);
            gaussianBlur (b3, b2, W, H, sharpenParam.radius / scale);
        }
    }
    float** base = lab->L;

    if (sharpenParam.edgesonly) {
        base = b3;
    }

    if (!sharpenParam.halocontrol) {
#ifdef _OPENMP
        #pragma omp parallel for
#endif

        for (int i = 0; i < H; i++)
            for (int j = 0; j < W; j++) {
                constexpr float upperBound = 2000.f;  // WARNING: Duplicated value, it's baaaaaad !
                float diff = base[i][j] - b2[i][j];
                float delta = sharpenParam.threshold.multiply<float, float, float>(
                                  min(fabsf(diff), upperBound),                   // X axis value = absolute value of the difference, truncated to the max value of this field
                                  sharpenParam.amount * diff * 0.01f        // Y axis max value
                              );
                lab->L[i][j] = intp(blend[i][j], lab->L[i][j] + delta, lab->L[i][j]);
            }
    } else {
        if (!sharpenParam.edgesonly) {
            // make a deep copy of lab->L
            JaggedArray<float> labCopy(W, H);

#ifdef _OPENMP
            #pragma omp parallel for
#endif

            for( int i = 0; i < H; i++ )
                for( int j = 0; j < W; j++ ) {
                    labCopy[i][j] = lab->L[i][j];
                }

            sharpenHaloCtrl (lab->L, b2, labCopy, blend, W, H, sharpenParam);
        } else {
            sharpenHaloCtrl (lab->L, b2, base, blend, W, H, sharpenParam);
        }

    }

    if (sharpenParam.edgesonly) {
        for (int i = 0; i < H; i++) {
            delete [] b3[i];
        }

        delete [] b3;
    }

    if (sharpenParam.blurradius >= 0.25) {
#ifdef _OPENMP
    #pragma omp parallel for
#endif
        for (int i = 0; i < H; ++i) {
            for (int j = 0; j < W; ++j) {
                lab->L[i][j] = intp(blend[i][j], lab->L[i][j], max(blur[i][j], 0.0f));
            }
        }
    }

}

// To the extent possible under law, Manuel Llorens <manuelllorens@gmail.com>
// has waived all copyright and related or neighboring rights to this work.
// This code is licensed under CC0 v1.0, see license information at
// http://creativecommons.org/publicdomain/zero/1.0/

//! MicroContrast is a sharpening method developed by Manuel Llorens and documented here: http://www.rawness.es/sharpening/?lang=en
//! <BR>The purpose is maximize clarity of the image without creating halo's.
//! <BR>Addition from JD : pyramid  + pondered contrast with matrix 5x5
//! <BR>2017 Ingo Weyrich : reduced processing time
//! \param luminance : Luminance channel of image
void ImProcFunctions::MLmicrocontrast(float** luminance, int W, int H)
{
    if (!params->sharpenMicro.enabled || params->sharpenMicro.contrast == 100 || params->sharpenMicro.amount < 1.0) {
        return;
    }
BENCHFUN
    const int k = params->sharpenMicro.matrix ? 1 : 2;
    // k=2 matrix 5x5  k=1 matrix 3x3
    const int width = W, height = H;
    const int unif = params->sharpenMicro.uniformity;
    const float amount = (k == 1 ? 2.7 : 1.) * params->sharpenMicro.amount / 1500.0; //amount 2000.0 quasi no artifacts ==> 1500 = maximum, after artifacts, 25/9 if 3x3

    if (settings->verbose) {
        printf ("Micro-contrast amount %f\n", static_cast<double>(amount));
        printf ("Micro-contrast uniformity %i\n", unif);
    }

    //modulation uniformity in function of luminance
    const float L98[11] = {0.001f, 0.0015f, 0.002f, 0.004f, 0.006f, 0.008f, 0.01f, 0.03f, 0.05f, 0.1f, 0.1f};
    const float L95[11] = {0.0012f, 0.002f, 0.005f, 0.01f, 0.02f, 0.05f, 0.1f, 0.12f, 0.15f, 0.2f, 0.25f};
    const float L92[11] = {0.01f, 0.015f, 0.02f, 0.06f, 0.10f, 0.13f, 0.17f, 0.25f, 0.3f, 0.32f, 0.35f};
    const float L90[11] = {0.015f, 0.02f, 0.04f, 0.08f, 0.12f, 0.15f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f};
    const float L87[11] = {0.025f, 0.03f, 0.05f, 0.1f, 0.15f, 0.25f, 0.3f, 0.4f, 0.5f, 0.63f, 0.75f};
    const float L83[11] = {0.055f, 0.08f, 0.1f, 0.15f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.75f, 0.85f};
    const float L80[11] = {0.15f, 0.2f, 0.25f, 0.3f, 0.35f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.9f};
    const float L75[11] = {0.22f, 0.25f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.85f, 0.9f, 0.95f};
    const float L70[11] = {0.35f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.97f, 1.0f, 1.0f, 1.0f, 1.0f};
    const float L63[11] = {0.55f, 0.6f, 0.7f, 0.8f, 0.85f, 0.9f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f};
    const float L58[11] = {0.75f, 0.77f, 0.8f, 0.9f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f};
    //default 5
    //modulation contrast
    const float Cont0[11] = {0.05f, 0.1f, 0.2f, 0.25f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.9f};
    const float Cont1[11] = {0.1f, 0.2f, 0.3f, 0.4f, 0.5f, 0.6f, 0.7f, 0.8f, 0.9f, 0.95f, 1.0f};
    const float Cont2[11] = {0.2f, 0.40f, 0.6f, 0.7f, 0.8f, 0.85f, 0.90f, 0.95f, 1.0f, 1.05f, 1.10f};
    const float Cont3[11] = {0.5f, 0.6f, 0.7f, 0.8f, 0.85f, 0.9f, 1.0f, 1.0f, 1.05f, 1.10f, 1.20f};
    const float Cont4[11] = {0.8f, 0.85f, 0.9f, 0.95f, 1.0f, 1.05f, 1.10f, 1.150f, 1.2f, 1.25f, 1.40f};
    const float Cont5[11] = {1.0f, 1.1f, 1.2f, 1.25f, 1.3f, 1.4f, 1.45f, 1.50f, 1.6f, 1.65f, 1.80f};

    const float sqrt2 = sqrt(2.0);
    const float sqrt1d25 = sqrt(1.25);
    float *LM = new float[width * height]; //allocation for Luminance

    // calculate contrast based blend factors to reduce sharpening in regions with low contrast
    JaggedArray<float> blend(W, H);
    float contrastThreshold = params->sharpenMicro.contrast / 100.0;
    buildBlendMask(luminance, blend, W, H, contrastThreshold);

#ifdef _OPENMP
    #pragma omp parallel
#endif
{

#ifdef _OPENMP
    #pragma omp for schedule(dynamic,16)
#endif

    for(int j = 0; j < height; j++)
        for(int i = 0, offset = j * width + i; i < width; i++, offset++) {
            LM[offset] = luminance[j][i] / 327.68f; // adjust to [0;100] and to RT variables
        }

#ifdef _OPENMP
    #pragma omp for schedule(dynamic,16)
#endif

    for(int j = k; j < height - k; j++)
        for(int i = k, offset = j * width + i; i < width - k; i++, offset++) {
            float v = LM[offset];

            float contrast;
            if (k == 1) {
                contrast = sqrtf(SQR(LM[offset + 1] - LM[offset - 1]) + SQR(LM[offset + width] - LM[offset - width])) * 0.125f;    //for 3x3
            } else /* if (k==2) */ contrast = sqrtf(SQR(LM[offset + 1] - LM[offset - 1]) + SQR(LM[offset + width] - LM[offset - width])
                                                       + SQR(LM[offset + 2] - LM[offset - 2]) + SQR(LM[offset + 2 * width] - LM[offset - 2 * width])) * 0.0625f; //for 5x5

            contrast = std::min(contrast, 1.f);

            //matrix 5x5
            float temp = v + 4.f *( v * (amount + sqrt2 * amount)); //begin 3x3
            float temp1 = sqrt2 * amount *(LM[offset - width - 1] + LM[offset - width + 1] + LM[offset + width - 1] + LM[offset + width + 1]);
            temp1 += amount * (LM[offset - width] + LM[offset - 1] + LM[offset + 1] + LM[offset + width]);

            temp -= temp1;

            // add JD continue 5x5
            if (k == 2) {
                float temp2 = -(LM[offset + 2 * width] + LM[offset - 2 * width] + LM[offset - 2] + LM[offset + 2]);

                temp2 -= sqrt1d25 * (LM[offset + 2 * width - 1] + LM[offset + 2 * width + 1] + LM[offset +  width + 2] + LM[offset +  width - 2] + 
                                     LM[offset - 2 * width - 1] + LM[offset - 2 * width + 1] + LM[offset -  width + 2] + LM[offset -  width - 2]);

                temp2 -= sqrt2 * (LM[offset + 2 * width - 2] + LM[offset + 2 * width + 2] + LM[offset - 2 * width - 2] + LM[offset - 2 * width + 2]);
                temp2 += 18.601126159f * v ; // 18.601126159 = 4 + 4 * sqrt(2) + 8 * sqrt(1.25)
                temp2 *= 2.f * amount;
                temp += temp2;
            }

            temp = std::max(temp, 0.f);

            for(int row = j - k; row <= j + k; ++row) {
                for(int offset2 = row * width + i - k; offset2 <= row * width + i + k; ++offset2) {
                    if((LM[offset2] - temp) * (v - LM[offset2]) > 0.f) {
                        temp = intp(0.75f, temp, LM[offset2]);
                        goto breakout;
                    }
                }
            }
            breakout:

            if (LM[offset] > 95.0f || LM[offset] < 5.0f) {
                contrast *= Cont0[unif];    //+ JD : luminance  pyramid to adjust contrast by evaluation of LM[offset]
            } else if (LM[offset] > 90.0f || LM[offset] < 10.0f) {
                contrast *= Cont1[unif];
            } else if (LM[offset] > 80.0f || LM[offset] < 20.0f) {
                contrast *= Cont2[unif];
            } else if (LM[offset] > 70.0f || LM[offset] < 30.0f) {
                contrast *= Cont3[unif];
            } else if (LM[offset] > 60.0f || LM[offset] < 40.0f) {
                contrast *= Cont4[unif];
            } else {
                contrast *= Cont5[unif];    //(2.0f/k)*Cont5[unif];
            }

            contrast = std::min(contrast, 1.f);

            float tempL = intp(contrast, LM[offset], temp);
            // JD: modulation of microcontrast in function of original Luminance and modulation of luminance
            if (tempL > LM[offset]) {
                float temp2 = tempL / LM[offset]; //for highlights
                temp2 = std::min(temp2, 1.7f); //limit action
                temp2 -= 1.f;
                if (LM[offset] > 98.0f) {
                    temp = 0.f;
                } else if (LM[offset] > 95.0f) {
                    temp = L95[unif];
                } else if (LM[offset] > 92.0f) {
                    temp = L92[unif];
                } else if (LM[offset] > 90.0f) {
                    temp = L90[unif];
                } else if (LM[offset] > 87.0f) {
                    temp = L87[unif];
                } else if (LM[offset] > 83.0f) {
                    temp = L83[unif];
                } else if (LM[offset] > 80.0f) {
                    temp = L80[unif];
                } else if (LM[offset] > 75.0f) {
                    temp = L75[unif];
                } else if (LM[offset] > 70.0f) {
                    temp = L70[unif];
                } else if (LM[offset] > 63.0f) {
                    temp = L63[unif];
                } else if (LM[offset] > 58.0f) {
                    temp = L58[unif];
                } else if (LM[offset] > 42.0f) {
                    temp = L58[unif];
                } else if (LM[offset] > 37.0f) {
                    temp = L63[unif];
                } else if (LM[offset] > 30.0f) {
                    temp = L70[unif];
                } else if (LM[offset] > 25.0f) {
                    temp = L75[unif];
                } else if (LM[offset] > 20.0f) {
                    temp = L80[unif];
                } else if (LM[offset] > 17.0f) {
                    temp = L83[unif];
                } else if (LM[offset] > 13.0f) {
                    temp = L87[unif];
                } else if (LM[offset] > 10.0f) {
                    temp = L90[unif];
                } else if (LM[offset] > 5.0f) {
                    temp = L95[unif];
                } else {
                    temp = 0.f;
                }
                luminance[j][i] = intp(blend[j][i], luminance[j][i] * (temp * temp2 + 1.f), luminance[j][i]);
            } else {

                float temp4 = LM[offset] / tempL; //

                if (temp4 > 1.0f) {
                    temp4 = std::min(temp4, 1.7f); //limit action
                    temp4 -= 1.f;
                    if (LM[offset] < 2.0f) {
                        temp = L98[unif];
                    } else if (LM[offset] < 5.0f) {
                        temp = L95[unif];
                    } else if (LM[offset] < 8.0f) {
                        temp = L92[unif];
                    } else if (LM[offset] < 10.0f) {
                        temp = L90[unif];
                    } else if (LM[offset] < 13.0f) {
                        temp = L87[unif];
                    } else if (LM[offset] < 17.0f) {
                        temp = L83[unif];
                    } else if (LM[offset] < 20.0f) {
                        temp = L80[unif];
                    } else if (LM[offset] < 25.0f) {
                        temp = L75[unif];
                    } else if (LM[offset] < 30.0f) {
                        temp = L70[unif];
                    } else if (LM[offset] < 37.0f) {
                        temp = L63[unif];
                    } else if (LM[offset] < 42.0f) {
                        temp = L58[unif];
                    } else if (LM[offset] < 58.0f) {
                        temp = L58[unif];
                    } else if (LM[offset] < 63.0f) {
                        temp = L63[unif];
                    } else if (LM[offset] < 70.0f) {
                        temp = L70[unif];
                    } else if (LM[offset] < 75.0f) {
                        temp = L75[unif];
                    } else if (LM[offset] < 80.0f) {
                        temp = L80[unif];
                    } else if (LM[offset] < 83.0f) {
                        temp = L83[unif];
                    } else if (LM[offset] < 87.0f) {
                        temp = L87[unif];
                    } else if (LM[offset] < 90.0f) {
                        temp = L90[unif];
                    } else if (LM[offset] < 95.0f) {
                        temp = L95[unif];
                    } else {
                        temp = 0.f;
                    }
                    luminance[j][i] = intp(blend[j][i], luminance[j][i] / (temp * temp4 + 1.f), luminance[j][i]);
                }
            }
        }
}
    delete [] LM;
}

void ImProcFunctions::MLmicrocontrast(LabImage* lab)
{
    MLmicrocontrast(lab->L, lab->W, lab->H);
}

void ImProcFunctions::MLmicrocontrastcam(CieImage* ncie)
{
    MLmicrocontrast(ncie->sh_p, ncie->W, ncie->H);
}

void ImProcFunctions::sharpeningcam (CieImage* ncie, float** b2, bool showMask)
{
    if ((!params->sharpening.enabled) || params->sharpening.amount < 1 || ncie->W < 8 || ncie->H < 8) {
        return;
    }

    int W = ncie->W, H = ncie->H;

    // calculate contrast based blend factors to reduce sharpening in regions with low contrast
    JaggedArray<float> blend(W, H);
    float contrast = params->sharpening.contrast / 100.0;
    buildBlendMask(ncie->sh_p, blend, W, H, contrast);
    if(showMask) {
#ifdef _OPENMP
        #pragma omp parallel for
#endif

        for (int i = 0; i < H; ++i) {
            for (int j = 0; j < W; ++j) {
                ncie->sh_p[i][j] = blend[i][j] * 32768.f;
            }
        }
        return;
    }

    if (params->sharpening.method == "rld") {
        deconvsharpening (ncie->sh_p, b2, blend, ncie->W, ncie->H, params->sharpening, scale);
        return;
    }

    // Rest is UNSHARP MASK

    float** b3 = nullptr;

    if (params->sharpening.edgesonly) {
        b3 = new float*[H];

        for (int i = 0; i < H; i++) {
            b3[i] = new float[W];
        }
    }

#ifdef _OPENMP
    #pragma omp parallel
#endif
    {

        if (!params->sharpening.edgesonly) {
            gaussianBlur (ncie->sh_p, b2, W, H, params->sharpening.radius / scale);
        } else {
            bilateral<float, float> (ncie->sh_p, (float**)b3, b2, W, H, params->sharpening.edges_radius / scale, params->sharpening.edges_tolerance, multiThread);
            gaussianBlur (b3, b2, W, H, params->sharpening.radius / scale);
        }
    }

    float** base = ncie->sh_p;

    if (params->sharpening.edgesonly) {
        base = b3;
    }

    if (!params->sharpening.halocontrol) {
#ifdef _OPENMP
        #pragma omp parallel for
#endif

        for (int i = 0; i < H; i++)
            for (int j = 0; j < W; j++) {
                constexpr float upperBound = 2000.f;  // WARNING: Duplicated value, it's baaaaaad !
                float diff = base[i][j] - b2[i][j];
                float delta = params->sharpening.threshold.multiply<float, float, float>(
                                  min(fabsf(diff), upperBound),                   // X axis value = absolute value of the difference, truncated to the max value of this field
                                  params->sharpening.amount * diff * 0.01f      // Y axis max value
                              );

                if(ncie->J_p[i][j] > 8.0f && ncie->J_p[i][j] < 92.0f) {
                    ncie->sh_p[i][j] = intp(blend[i][j], ncie->sh_p[i][j] + delta, ncie->sh_p[i][j]);
                }
            }
    } else {
        float** ncieCopy = nullptr;

        if (!params->sharpening.edgesonly) {
            // make deep copy of ncie->sh_p
            ncieCopy = new float*[H];

            for( int i = 0; i < H; i++ ) {
                ncieCopy[i] = new float[W];
            }

#ifdef _OPENMP
            #pragma omp parallel for
#endif

            for( int i = 0; i < H; i++ )
                for( int j = 0; j < W; j++ ) {
                    ncieCopy[i][j] = ncie->sh_p[i][j];
                }

            base = ncieCopy;
        }

        sharpenHaloCtrl (ncie->sh_p, b2, base, blend, W, H, params->sharpening);

        if(ncieCopy) {
            for( int i = 0; i < H; i++ ) {
                delete[] ncieCopy[i];
            }

            delete[] ncieCopy;
        }
    }

    if (params->sharpening.edgesonly) {
        for (int i = 0; i < H; i++) {
            delete [] b3[i];
        }

        delete [] b3;
    }
}

}