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【测试环境】
vs2019
opencv==4.8.0
【效果演示】
【核心实现代码】
- #include <iostream>
- #include "opencv2/core.hpp"
- #include "opencv2/imgproc.hpp"
- #include "opencv2/highgui.hpp"
-
- using namespace std;
- using namespace cv;
-
-
- #define SWAP(a, b, t) do { t = a; a = b; b = t; } while(0)
- #define CLIP_RANGE(value, min, max) ( (value) > (max) ? (max) : (((value) < (min)) ? (min) : (value)) )
- #define COLOR_RANGE(value) CLIP_RANGE(value, 0, 255)
- #define M_PI 3.14
- /**
- * Adjust Brightness and Contrast
- *
- * @param src [in] InputArray
- * @param dst [out] OutputArray
- * @param brightness [in] integer, value range [-255, 255]
- * @param contrast [in] integer, value range [-255, 255]
- *
- * @return 0 if success, else return error code
- */
- int adjustBrightnessContrast(InputArray src, OutputArray dst, int brightness, int contrast)
- {
- Mat input = src.getMat();
- if (input.empty()) {
- return -1;
- }
-
- dst.create(src.size(), src.type());
- Mat output = dst.getMat();
-
- brightness = CLIP_RANGE(brightness, -255, 255);
- contrast = CLIP_RANGE(contrast, -255, 255);
-
- /**
- Algorithm of Brightness Contrast transformation
- The formula is:
- y = [x - 127.5 * (1 - B)] * k + 127.5 * (1 + B);
- x is the input pixel value
- y is the output pixel value
- B is brightness, value range is [-1,1]
- k is used to adjust contrast
- k = tan( (45 + 44 * c) / 180 * PI );
- c is contrast, value range is [-1,1]
- */
-
- double B = brightness / 255.;
- double c = contrast / 255.;
- double k = tan((45 + 44 * c) / 180 * M_PI);
-
- Mat lookupTable(1, 256, CV_8U);
- uchar* p = lookupTable.data;
- for (int i = 0; i < 256; i++)
- p[i] = COLOR_RANGE((i - 127.5 * (1 - B)) * k + 127.5 * (1 + B));
-
- LUT(input, lookupTable, output);
-
- return 0;
- }
-
-
-
- static string window_name = "photo";
- static Mat src;
- static int brightness = 255;
- static int contrast = 255;
-
- static void callbackAdjust(int, void*)
- {
- Mat dst;
- adjustBrightnessContrast(src, dst, brightness - 255, contrast - 255);
- imshow(window_name, dst);
- }
-
-
![](https://csdnimg.cn/release/blogv2/dist/pc/img/newCodeMoreWhite.png)
【完整演示源码下载地址】
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