【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 transformationThe formula is:y = [x - 127.5 * (1 - B)] * k + 127.5 * (1 + B);x is the input pixel valuey is the output pixel valueB is brightness, value range is [-1,1]k is used to adjust contrastk = 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);
}【完整演示源码下载地址】
https://download.csdn.net/download/FL1623863129/89633007
