#include <cmath>
#include <cstdio>
#include <cstdlib>
{
    return ((in<
min)*0.0f + (in>
max)*255.0f + (in >= 
min && in <= 
max)*in);
 
}
array hurl(
const array &in, 
int randomization, 
int repeat)
 
{
    float f = randomization / 100.0f;
    int dim = (int)(f*w*h);
    for (int i = 0; i<repeat; ++i) {
        temp(idxs, 0) = rndR;
        temp(idxs, 1) = rndG;
        temp(idxs, 2) = rndB;
    }
    return ret_val;
}
array getRandomNeighbor(
const array &in, 
int windW, 
int windH)
 
{
}
array spread(
const array &in, 
int window_width, 
int window_height)
 
{
    return getRandomNeighbor(in, window_width, window_height);
}
array pick(
const array &in, 
int randomization, 
int repeat)
 
{
    float f = randomization / 100.0f;
    int dim = (int)(f*w*h);
    for (int i = 0; i<repeat; ++i) {
        array rnd = getRandomNeighbor(ret_val, 1, 1);
 
        temp_dst(idxs, 
span) = temp_src(idxs, 
span);
    }
    return ret_val;
}
{
    static float h1[] = { 1, 1, 1 };
    static float h2[] = { -1, 0, 1 };
    
    
}
{
    
    
}
void normalizeImage(
array &in)
 
{
    float min = af::min<float>(in);
 
    float max = af::max<float>(in);
 
    in = 255.0f*((in - 
min) / (max - min));
}
array DifferenceOfGaussian(
const array &in, 
int window_radius1, 
int window_radius2)
 
{
    int w1 = 2 * window_radius1 + 1;
    int w2 = 2 * window_radius2 + 1;
    normalizeImage(ret_val);
    return ret_val;
}
array medianfilter(
const array &in, 
int window_width, 
int window_height)
 
{
    return ret_val;
}
array gaussianblur(
const array &in, 
int window_width, 
int window_height, 
int sigma)
 
{
}
array emboss(
const array &input, 
float azimuth, 
float elevation, 
float depth)
 
{
    if (depth<1 || depth>100) {
        printf("Depth should be in the range of 1-100");
        return input;
    }
    static float x[3] = { -1, 0, 1 };
    else
        in = input;
    
    float phi = elevation*
af::Pi / 180.0f;
 
    float theta = azimuth*
af::Pi / 180.0f;
 
    
    
    
    
    float pos[3];
    pos[0] = 255.99f * 
cos(phi)*
cos(theta);
    pos[1] = 255.99f * 
cos(phi)*
sin(theta);
    pos[2] = 255.99f * 
sin(phi);
    
    float pxlz = (6 * 255.0f) / depth;
    array vdot = gx*pos[0] + gy*pos[1] + pxlz*pos[2];
 
    array outwd = vdot < 0.0f;
 
    array color = outwd * 0.0f + (1 - outwd) * norm;
 
    return color;
}
int main(int argc, char **argv)
{
    try {
        int device = argc > 1 ? atoi(argv[1]) : 0;
        array lena = 
loadImage(ASSETS_DIR 
"/examples/images/vegetable-woman.jpg", 
true);
 
        array prew_mag, prew_dir;
 
        prewitt(prew_mag, prew_dir, lena1ch);
        sobelFilter(sob_mag, sob_dir, lena1ch);
        array sprd = spread(lena, 3, 3);
 
        array hrl = hurl(lena, 10, 1);
 
        array pckng = pick(lena, 40, 2);
 
        array difog = DifferenceOfGaussian(lena, 1, 2);
 
        array mf = medianfilter(hrl, 5, 5);
 
        array gb = gaussianblur(hrl, 3, 3, 0.8);
 
        array emb = emboss(lena, 45, 20, 10);
 
        std::cout << "Press ESC while the window is in focus to exit" << std::endl;
        while (!wnd.close()) {
            wnd.grid(2, 5);
            wnd(0, 0).image(hrl / 255, "Hurl noise");
            wnd(1, 0).image(gb / 255, "Gaussian blur");
            wnd(0, 1).image(bil / 255, "Bilateral filter on hurl noise");
            wnd(1, 1).image(mf / 255, "Median filter on hurl noise");
            wnd(0, 2).image(prew_mag / 255, "Prewitt edge filter");
            wnd(1, 2).image(sob_mag / 255, "Sobel edge filter");
            wnd(0, 3).image(sprd / 255, "Spread filter");
            wnd(1, 3).image(pckng / 255, "Pick filter");
            wnd(0, 4).image(difog / 255, "Difference of gaussians(3x3 and 5x5)");
            wnd(1, 4).image(emb / 255, "Emboss effect");
            wnd.show();
        }
    }
        fprintf(stderr, 
"%s\n", e.
what());
        throw;
    }
#ifdef WIN32 // pause in Windows
    if (!(argc == 2 && argv[1][0] == '-')) {
        printf("hit [enter]...");
        fflush(stdout);
        getchar();
    }
#endif
    return 0;
}