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Digital photograph restoration and colorization using artificial intelligence. Image restoration is the operation of taking a corrupt/noisy image and estimating the clean, original image. Corruption may come in many forms such as motion blur, noise and camera mis-focus. [1] Image restoration is performed by reversing the process that blurred ...
Unsharp masking ( USM) is an image sharpening technique, first implemented in darkroom photography, but now commonly used in digital image processing software. Its name derives from the fact that the technique uses a blurred, or "unsharp", negative image to create a mask of the original image. The unsharp mask is then combined with the original ...
Resize, crop, rotate, flip, JPEG lossless rotate/flip/crop, adjust exposure and colors etc., filters (sharpen, blur, average, emboss), batch convert, batch rename, edit IPTC info Free for non-commercial use Xv: View as ASCII or hex, magnify, determine pixel values
Gaussian blur. In image processing, a Gaussian blur (also known as Gaussian smoothing) is the result of blurring an image by a Gaussian function (named after mathematician and scientist Carl Friedrich Gauss ). It is a widely used effect in graphics software, typically to reduce image noise and reduce detail. The visual effect of this blurring ...
Basics of image editing. Raster images are stored in a computer in the form of a grid of picture elements, or pixels. These pixels contain the image's color and brightness information. Image editors can change the pixels to enhance the image in many ways. The pixels can be changed as a group, or individually, by the sophisticated algorithms ...
Kernel (image processing) In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more. This is accomplished by doing a convolution between the kernel and an image. Or more simply, when each pixel in the output image is a function of the nearby pixels (including ...
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