1、概述

  案例:输出一张原图,增加该图片的亮度及对比度

  基本概念:

    亮度:RGB的像素值范围是0~255,我们称从0——>255随着像素值的增加图像会越来月亮,反之会越来越暗。所以我们可以通过对图像像素加减来改变图像的亮度。

    对比度:其反应的是图像中各像素的差异(层次感、落差感),差异越大对比度越大,图像越清晰。差异越小对比度越小,图像越模糊。

2、示例代码

Mat src = imread(filePath);
    imshow("src",src);
    int height = src.rows;
    int width = src.cols;
    int channels = src.channels();
    double alpha = 1.2;//像素增加权重,即:每个像素都扩大1.2倍,用于增加图像的对比度
    double beta = 50;//用于增加亮度
    Mat dst;//输出图像
    dst = Mat::zeros(src.size(),src.type());//创建一个都是0的Mat,即纯黑色的mat
    //下面是增加亮度及对比度的关键代码
    for(int y = 0;y<height;y++){
        for(int x = 0;x<width;x++){
            dst.at<Vec3b>(y,x)[0] = saturate_cast<uchar>(alpha*src.at<Vec3b>(y,x)[0]+beta);
            dst.at<Vec3b>(y,x)[1] = saturate_cast<uchar>(alpha*src.at<Vec3b>(y,x)[1]+beta);
            dst.at<Vec3b>(y,x)[2] = saturate_cast<uchar>(alpha*src.at<Vec3b>(y,x)[2]+beta);
        }
    }
    QImage qImage = QImage(dst.data,dst.cols,dst.rows,dst.step,QImage::Format_BGR888);
    label->setFixedSize(QSize(qImage.width(),qImage.height()));
    label->setScaledContents(true);
    label->setPixmap(QPixmap::fromImage(qImage));

3、示例图片

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GitHub 加速计划 / opencv31 / opencv
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OpenCV: 开源计算机视觉库
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