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test_v2.cpp
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#include "HLS/hls.h"
#include <cstdio>
#include <opencv2/opencv.hpp>
using namespace cv;
using namespace std;
/*int kernelArray[4][3][3] = {{{-1,-1,-1},{2,2,2},{-1,-1,-1}},
{{-1,2,-1},{-1,2,-1},{-1,2,-1}},
{{-1,-1,2},{-1,2,-1},{2,-1,-1}},
{{2,-1,-1},{-1,2,-1},{-1,-1,2}}};*/
double gauss_blur3x3[3][3] = {{1,2,1},
{2,4,2},
{1,2,1}};
double edge[3][3] = {{1,1,1},
{1,-8,1},
{1,1,1}};
double gauss_blur5x5[5][5] = {{1, 4, 6, 4,1},
{4,16,24,16,4},
{6,24,36,24,6},
{4,16,24,16,4},
{1, 4, 6, 4,1}};
double scale = 16.0;
int kern_cols = 3;
int kern_length_offset = 1;
int kern_height_offset = 1;
component void grayscale(uchar* __restrict__ image, int rows, int cols, int channels, int step, uchar* __restrict__ grayImage) {
/*grayImage = (uchar*)malloc(sizeof(uchar)*rows*cols);
memset(grayImage, 0, sizeof(uchar)*rows*cols);*/
//#pragma unroll
uchar tmp;
#pragma ivdep
for(int y = 0; y < rows; y++)
{
#pragma unroll
for (int x = 0; x < cols; x++)
{
/*int blue = (int)image[channels*x + step*y];
int green = (int)image[channels*x + step*y + 1];
int red = (int)image[channels*x + step*y + 2];
*/
//grayImage[x + cols*y] = (uchar)\
(.3 * (int)image[channels*x + step*y + 0]/*red*/) + \
(.59 * (int)image[channels*x + step*y + 1]/*green*/) + \
(.11 * (int)image[channels*x + step*y + 2]/*blue*/);
tmp = (uchar)\
(.3 * (int)image[channels*x + step*y + 0]/*red*/) + \
(.59 * (int)image[channels*x + step*y + 1]/*green*/) + \
(.11 * (int)image[channels*x + step*y + 2]/*blue*/);
grayImage[channels*x + step*y + 0] = tmp;
grayImage[channels*x + step*y + 1] = tmp;
grayImage[channels*x + step*y + 2] = tmp;
}
}
return;
}
component void blur3x3(uchar* __restrict__ image, int rows, int cols, int channels, int step, uchar* __restrict__ blurImage) {
/*grayImage = (uchar*)malloc(sizeof(uchar)*rows*cols);
memset(grayImage, 0, sizeof(uchar)*rows*cols);*/
//#pragma unroll
#pragma ivdep
for(int y = 1; y < rows-1; y++)
{
#pragma unroll
for (int x = 1; x < cols-1; x++)
{
/*
int blue = (int)image[channels*x + step*y];
int green = (int)image[channels*x + step*y + 1];
int red = (int)image[channels*x + step*y + 2];
*/
//printf ("bef x:%d y:%d\n", x,y);
double r_sum = 0,b_sum = 0,g_sum = 0;
for(int i=-1;i<2;++i)
{
for(int j=-1;j<2;++j)
{
double kern_val = gauss_blur3x3[i+1][j+1]/16.0;
r_sum += kern_val*image[channels*(x+i) + step*(y+j)];
g_sum += kern_val*image[channels*(x+i) + step*(y+j)+1];
b_sum += kern_val*image[channels*(x+i) + step*(y+j)+2];
/*if(x==50 && y==50)
{
printf ("k:%f i:%d\n", kern_val,image[channels*(x+i) + step*(y+j)+1]);
}*/
}
}
/*if(x==50 && y==50)
{
printf ("old:%d new:%f\n", image[channels*(x) + step*(y)],r_sum);
printf ("old:%d new:%f\n", image[channels*(x) + step*(y)+1],g_sum);
printf ("old:%d new:%f\n", image[channels*(x) + step*(y)+2],b_sum);
}*/
//printf ("r:%f\n", r_sum);
blurImage[channels*x + step*y] = (int) r_sum;
//printf ("un:%d blr:%d\n", image[channels*x + step*y],blurImage[channels*x + step*y]);
blurImage[channels*x + step*y+1] = (int) g_sum;
//printf ("un:%d blr:%d\n", image[channels*x + step*y],blurImage[channels*x + step*y]);
blurImage[channels*x + step*y+2] = (int) b_sum;
//printf ("un:%d blr:%d\n", image[channels*x + step*y],blurImage[channels*x + step*y]);
}
}
return;
}
component void blur5x5(uchar* __restrict__ image, int rows, int cols, int channels, int step, uchar* __restrict__ blurImage) {
#pragma ivdep
for(int y = 2; y < rows-2; y++)
{
#pragma unroll
for (int x = 2; x < cols-2; x++)
{
double r_sum = 0,b_sum = 0,g_sum = 0;
for(int i=-2;i<3;++i)
{
for(int j=-2;j<3;++j)
{
double kern_val = gauss_blur5x5[i+2][j+2]/256.0;
r_sum += kern_val*image[channels*(x+i) + step*(y+j)];
g_sum += kern_val*image[channels*(x+i) + step*(y+j)+1];
b_sum += kern_val*image[channels*(x+i) + step*(y+j)+2];
}
}
/*if(x==50 && y==50)
{
printf ("old:%d new:%f\n", image[channels*(x) + step*(y)+1],g_sum);
}*/
//printf ("r:%f\n", r_sum);
blurImage[channels*x + step*y] = (int) r_sum;
//printf ("un:%d blr:%d\n", image[channels*x + step*y],blurImage[channels*x + step*y]);
blurImage[channels*x + step*y+1] = (int) g_sum;
//printf ("un:%d blr:%d\n", image[channels*x + step*y],blurImage[channels*x + step*y]);
blurImage[channels*x + step*y+2] = (int) b_sum;
//printf ("un:%d blr:%d\n", image[channels*x + step*y],blurImage[channels*x + step*y]);
}
}
return;
}
component void edge3x3(uchar* __restrict__ image, int rows, int cols, int channels, int step, uchar* __restrict__ blurImage) {
#pragma ivdep
for(int y = 1; y < rows-1; y++)
{
#pragma unroll
for (int x = 1; x < cols-1; x++)
{
double r_sum = 0,b_sum = 0,g_sum = 0;
for(int i=-1;i<2;++i)
{
for(int j=-1;j<2;++j)
{
double kern_val = edge[i+1][j+1];
r_sum += kern_val*image[channels*(x+i) + step*(y+j)];
g_sum += kern_val*image[channels*(x+i) + step*(y+j)+1];
b_sum += kern_val*image[channels*(x+i) + step*(y+j)+2];
if(x==50 && y==50)
{
printf ("k:%f i:%d\n", kern_val,image[channels*(x+i) + step*(y+j)+1]);
}
}
}
if(x==50 && y==50)
{
printf ("old:%d new:%f\n", image[channels*(x) + step*(y)],r_sum);
printf ("old:%d new:%f\n", image[channels*(x) + step*(y)+1],g_sum);
printf ("old:%d new:%f\n", image[channels*(x) + step*(y)+2],b_sum);
}
//printf ("r:%f\n", r_sum);
blurImage[channels*x + step*y] = (int) r_sum;
//printf ("un:%d blr:%d\n", image[channels*x + step*y],blurImage[channels*x + step*y]);
blurImage[channels*x + step*y+1] = (int) g_sum;
//printf ("un:%d blr:%d\n", image[channels*x + step*y],blurImage[channels*x + step*y]);
blurImage[channels*x + step*y+2] = (int) b_sum;
//printf ("un:%d blr:%d\n", image[channels*x + step*y],blurImage[channels*x + step*y]);
}
}
return;
}
component void kernel(uchar* __restrict__ inputImage, int im_rows, int im_cols, int channels, int step, double* filter, int ft_rows, int ft_cols, uchar* __restrict__ outputImage) {
int kern_length_offset = ft_rows>>1;
int kern_height_offset = ft_cols>>1;
#pragma ivdep
for(int y = kern_height_offset; y < im_rows-kern_height_offset; y++)
{
#pragma unroll
for (int x = kern_length_offset; x < im_cols-kern_length_offset; x++)
{
double r_sum = 0,b_sum = 0,g_sum = 0;
for(int i=-kern_height_offset;i<=kern_height_offset;++i)
{
for(int j=-kern_length_offset;j<=kern_length_offset;++j)
{
double kern_val = filter[ft_cols*(i+kern_height_offset)+(j+kern_length_offset)];
r_sum += kern_val*inputImage[channels*(x+i) + step*(y+j)];
g_sum += kern_val*inputImage[channels*(x+i) + step*(y+j)+1];
b_sum += kern_val*inputImage[channels*(x+i) + step*(y+j)+2];
}
}
outputImage[channels*x + step*y] = (int) r_sum;
outputImage[channels*x + step*y+1] = (int) g_sum;
outputImage[channels*x + step*y+2] = (int) b_sum;
}
}
return;
}
int main(int argc, char** argv )
{
if ( argc < 3 )
{
printf("usage: DisplayImage.out <Image_Path>\n");
return -1;
}
Mat image;
printf ("%s \n", argv[1]);
image = imread( argv[1], 1 );
//unsigned char* __restrict__ imageData = image.data;
//printf("here %d\n", image.type());
if (image.empty()) // !image.data )
{
// printf("No image data \n");
return -1;
}
//Mat processedImage;
unsigned char* __restrict__ tempImageData = (uchar*)malloc(3*sizeof(uchar)*image.rows*image.cols);
for(int argi=2;argi<argc;++argi)
{
if (strcmp(argv[argi], "-g") == 0)
{
memset(tempImageData, 0, sizeof(uchar)*image.rows*image.cols);
grayscale(image.data, image.rows, image.cols, image.channels(), image.step, tempImageData);
memcpy(image.data, tempImageData, 3*sizeof(uchar)*image.rows*image.cols);
//image = Mat(image.rows, image.cols, CV_8UC1, tempImageData);
}
else if (strcmp(argv[argi], "-b3") == 0)
{
memset(tempImageData, 25, 3*sizeof(uchar)*image.rows*image.cols);
blur3x3(image.data, image.rows, image.cols, image.channels(), image.step, tempImageData);
memcpy(image.data, tempImageData, 3*sizeof(uchar)*image.rows*image.cols);
//image = Mat(image.rows, image.cols, CV_8UC3);//, tempImageData);
}
else if (strcmp(argv[argi], "-b5") == 0)
{
memset(tempImageData, 0, 3*sizeof(uchar)*image.rows*image.cols);
blur5x5(image.data, image.rows, image.cols, image.channels(), image.step, tempImageData);
memcpy(image.data, tempImageData, 3*sizeof(uchar)*image.rows*image.cols);
//image = Mat(image.rows, image.cols, CV_8UC3, tempImageData);
}
else if (strcmp(argv[argi], "-e") == 0)
{
memset(tempImageData, 0, 3*sizeof(uchar)*image.rows*image.cols);
edge3x3(image.data, image.rows, image.cols, image.channels(), image.step, tempImageData);
memcpy(image.data, tempImageData, 3*sizeof(uchar)*image.rows*image.cols);
//image = Mat(image.rows, image.cols, CV_8UC3, tempImageData);
}
else if (strcmp(argv[argi], "-m") == 0)
{
int kernel_rows = stoi(argv[++argi]);
int kernel_cols = stoi(argv[++argi]);
double* K = new double[kernel_rows*kernel_cols];
for(int i=0;i<kernel_rows*kernel_cols;++i)
{
K[i] = stod(argv[++argi]);
}
//unsigned char* __restrict__ tempImageData = (uchar*)malloc(3*sizeof(uchar)*image.rows*image.cols);
//double K[9] = {0,0,0,0,1,0,0,0,0};
memset(tempImageData, 0, 3*sizeof(uchar)*image.rows*image.cols);
kernel(image.data, image.rows, image.cols, image.channels(), image.step, K, kernel_rows, kernel_cols, tempImageData);
image = Mat(image.rows, image.cols, CV_8UC3, tempImageData);
}
else
{
imwrite (strcat(argv[argi], ""), image);
image = imread( argv[1], 1 );
}
}
/*if (strcmp(argv[2], "-g") == 0)
{
unsigned char* __restrict__ grayImageData = (uchar*)malloc(sizeof(uchar)*image.rows*image.cols);
memset(grayImageData, 0, sizeof(uchar)*image.rows*image.cols);
grayscale(imageData, image.rows, image.cols, image.channels(), image.step, grayImageData);
processedImage = Mat(image.rows, image.cols, CV_8UC1, grayImageData);
imwrite (strcat(argv[2], argv[1]), processedImage);
}
else if (strcmp(argv[2], "-b3") == 0)
{
unsigned char* __restrict__ blurImageData = (uchar*)malloc(3*sizeof(uchar)*image.rows*image.cols);
memset(blurImageData, 0, 3*sizeof(uchar)*image.rows*image.cols);
blur3x3(imageData, image.rows, image.cols, image.channels(), image.step, blurImageData);
processedImage = Mat(image.rows, image.cols, CV_8UC3, blurImageData);
imwrite (strcat(argv[2], argv[1]), processedImage);
}
else if (strcmp(argv[2], "-b5") == 0)
{
unsigned char* __restrict__ blurImageData = (uchar*)malloc(3*sizeof(uchar)*image.rows*image.cols);
memset(blurImageData, 0, 3*sizeof(uchar)*image.rows*image.cols);
blur5x5(imageData, image.rows, image.cols, image.channels(), image.step, blurImageData);
processedImage = Mat(image.rows, image.cols, CV_8UC3, blurImageData);
imwrite (strcat(argv[2], argv[1]), processedImage);
}
else if (strcmp(argv[2], "-e") == 0)
{
unsigned char* __restrict__ edgeImageData = (uchar*)malloc(3*sizeof(uchar)*image.rows*image.cols);
memset(edgeImageData, 0, 3*sizeof(uchar)*image.rows*image.cols);
edge3x3(imageData, image.rows, image.cols, image.channels(), image.step, edgeImageData);
processedImage = Mat(image.rows, image.cols, CV_8UC3, edgeImageData);
imwrite (strcat(argv[2], argv[1]), processedImage);
}*/
//namedWindow("Display Image", WINDOW_AUTOSIZE );
//imshow("Display Image", processedImage);
//waitKey(0);
// printf ("%s \n", strcat(argv[2], argv[1]));
return 0;
}