blurry

问题 I am trying to detect blur rate of the face images with below code. cv::Mat greyMat; cv::Mat laplacianImage; cv::Mat imageClone = LapMat.clone(); cv::resize(imageClone, imageClone, cv::Size(150, 150), 0, 0, cv::INTER_CUBIC); cv::cvtColor(imageClone, greyMat, CV_BGR2GRAY); Laplacian(greyMat, laplacianImage, CV_64F); cv::Scalar mean, stddev; // 0:1st channel, 1:2nd channel and 2:3rd channel meanStdDev(laplacianImage, mean, stddev, cv::Mat()); double variance = stddev.val[0] * stddev.val[0]; cv:

问题 I am trying to detect blur rate of the face images with below code. cv::Mat greyMat; cv::Mat laplacianImage; cv::Mat imageClone = LapMat.clone(); cv::resize(imageClone, imageClone, cv::Size(150, 150), 0, 0, cv::INTER_CUBIC); cv::cvtColor(imageClone, greyMat, CV_BGR2GRAY); Laplacian(greyMat, laplacianImage, CV_64F); cv::Scalar mean, stddev; // 0:1st channel, 1:2nd channel and 2:3rd channel meanStdDev(laplacianImage, mean, stddev, cv::Mat()); double variance = stddev.val[0] * stddev.val[0]; cv:

问题 my web site displays images bigger than their original size. The images are 20% bigger than the original created with photoshop (for example), if an image's width is 200px, the browser display is 240px. So all my images are blured. Do you know why? 回答1: I've found the solution! Windows 10 has the default setting of dpi seted to 125% (search dpi into serach box and then look at "update text app and other elements"), this increase the dimension of everything in my monitor, so the images into my

问题 my web site displays images bigger than their original size. The images are 20% bigger than the original created with photoshop (for example), if an image's width is 200px, the browser display is 240px. So all my images are blured. Do you know why? 回答1: I've found the solution! Windows 10 has the default setting of dpi seted to 125% (search dpi into serach box and then look at "update text app and other elements"), this increase the dimension of everything in my monitor, so the images into my

问题 I am trying to compute the blurriness of an image by using LaplacianFilter. According to this article: https://www.pyimagesearch.com/2015/09/07/blur-detection-with-opencv/ I have to compute the variance of the output image. The problem is I don't understand conceptually how do I compute variance of an image. Every pixel has 4 values for every color channel, therefore I can compute the variance of every channel, but then I get 4 values, or even 16 by computing variance-covariance matrix, but

来源： https://stackoverflow.com/questions/60971248/css-blend-blur-merge-backgrounds-images

来源： https://stackoverflow.com/questions/59372278/how-to-reduce-the-quality-of-the-text-inside-uitextview-with-swift

来源： https://stackoverflow.com/questions/59372278/how-to-reduce-the-quality-of-the-text-inside-uitextview-with-swift

问题 I am trying to add a launcher icon to my Android application, but something seems wrong with resolution whan app is installed. The device I'm working with has an XHDPI screen, so I am testing with a 96x96 (px) image. I used the Image Asset in Android Studio to generate a default icon: This is the result in my device: You can notice that the image is a bit blurry, as it has been resized. It happens with every icon I make. What is happening? I am using MIUI, altough it doesn't appears to affect

问题 For whatever reason these svg files, seems blurry, and not 100% sharp in all browsers. These are svg files, and are enclosed within elements that are scaled to pixels, in other words using px and not % - hence no browser bitmap errors. Any idea as to why this is happening? This is one of the svg files; <?xml version="1.0" encoding="utf-8"?> <!-- Generator: Adobe Illustrator 19.0.0, SVG Export Plug-In . SVG Version: 6.00 Build 0) --> <svg version="1.1" id="Layer_1" xmlns="http://www.w3.org