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2. Radiometric correction 3. Denoising. Image restoration techniques aim to reverse the effects of degradation and restore the image as closely as possible to its original or desired state. The process involves analysing the image and applying algorithms and filters to remove or reduce the degradations.
Image scaling can be interpreted as a form of image resampling or image reconstruction from the view of the Nyquist sampling theorem.According to the theorem, downsampling to a smaller image from a higher-resolution original can only be carried out after applying a suitable 2D anti-aliasing filter to prevent aliasing artifacts.
Then the resolution-independent version is rendered as a raster image at the desired resolution. This technique is used by Adobe Illustrator Live Trace, Inkscape , and several recent papers. [ 6 ] Scalable Vector Graphics are well suited to simple geometric images, while photographs do not fare well with vectorization due to their complexity.
Image sharpening: original (top), image sharpened (bottom). Another form of image sharpening involves a form of contrast. This is done by finding the average color of the pixels around each pixel in a specified radius, and then contrasting that pixel from that average color. This effect makes the image seem clearer, seemingly adding details.
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 itself) in the input image ...
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.
A free beta test version was released to the public on 9 February 2015. [17] The initial stable release of Affinity Photo, version 1.3.1, launched on the Mac App Store on 9 July 2015 for macOS 10.7 and later. [5] In August Version 1.3.5 was released providing numerous bug fixes and improvements. [18]
Google collects its AI initiatives under Google.ai. Archived October 8, 2018, at the Wayback Machine. Google collects AI-based services across the company into Google.ai – "Google.ai is a collection of products and teams across Alphabet with a focus on AI." Google's deep focus on AI is paying off. Archived October 20, 2020, at the Wayback ...
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