-
Notifications
You must be signed in to change notification settings - Fork 0
/
03_im_contrast_enhancement_with_kernel.cpp
92 lines (74 loc) · 2.57 KB
/
03_im_contrast_enhancement_with_kernel.cpp
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
//
// Created by varora on 22/04/24.
//
#include <opencv2/imgcodecs.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>
#include <iostream>
using namespace std;
using namespace cv;
static void help(char* progName)
{
cout << endl
<< "How to filter images (for contrast enhancement) with mask using a custom method and the"
<< "filter2d() method from opencv. " << endl
<< "Usage:" << endl
<< progName << " [image_path -- default ims/sample.jpg] [G -- grayscale] " << endl << endl;
}
void Sharpen(const Mat& I, Mat& Result);
int main(int argc, char* argv[])
{
help(argv[0]);
const char* filename = argc >=2 ? argv[1] : "ims/sample.jpg";
Mat src, dst0, dst1;
if (argc >= 3 && !strcmp("G", argv[2]))
src = imread( samples::findFile( filename ), IMREAD_GRAYSCALE);
else
src = imread( samples::findFile( filename ), IMREAD_COLOR);
if (src.empty())
{
cerr << "Can't open image [" << filename << "]" << endl;
return EXIT_FAILURE;
}
namedWindow("Input", WINDOW_AUTOSIZE);
namedWindow("Output", WINDOW_AUTOSIZE);
// disp src im
imshow( "Input", src );
// basic method
double t = (double)getTickCount();
Sharpen( src, dst0 );
t = ((double)getTickCount() - t)/getTickFrequency();
cout << "Hand written function time passed in seconds: " << t << endl;
imshow( "Output", dst0 );
waitKey();
// filter2D()
Mat kernel = (Mat_<char>(3,3) << 0, -1, 0, -1, 5, -1, 0, -1, 0);
t = (double)getTickCount();
filter2D( src, dst1, src.depth(), kernel );
t = ((double)getTickCount() - t)/getTickFrequency();
cout << "Built-in filter2D time passed in seconds: " << t << endl;
imshow( "Output", dst1 );
waitKey();
return EXIT_SUCCESS;
}
void Sharpen(const Mat& I,Mat& Result)
{
CV_Assert(I.depth() == CV_8U); // accept only uchar images
const int nChannels = I.channels();
Result.create(I.size(), I.type());
for(int j = 1 ; j < I.rows-1; ++j)
{
const uchar* previous = I.ptr<uchar>(j - 1);
const uchar* current = I.ptr<uchar>(j);
const uchar* next = I.ptr<uchar>(j + 1);
uchar* output = Result.ptr<uchar>(j);
for(int i = nChannels; i < nChannels*(I.cols-1); ++i)
{
output[i] = saturate_cast<uchar>(5*current[i] - current[i-nChannels] - current[i+nChannels] - previous[i] - next[i]);
}
}
Result.row(0).setTo(Scalar(0));
Result.row(Result.rows-1).setTo(Scalar(0));
Result.col(0).setTo(Scalar(0));
Result.col(Result.cols-1).setTo(Scalar(0));
}