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  2. Deblurring - Wikipedia

    en.wikipedia.org/wiki/Deblurring

    Deblurring an image using Wiener deconvolution. Deblurring is the process of removing blurring artifacts from images. Deblurring recovers a sharp image S from a blurred image B, where S is convolved with K (the blur kernel) to generate B. Mathematically, this can be represented as = (where * represents convolution).

  3. Image restoration by artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Image_restoration_by...

    Image processing techniques are performed either in the image domain or the frequency domain. The most straightforward and a conventional technique for image restoration is deconvolution , which is performed in the frequency domain and after computing the Fourier transform of both the image and the PSF and undo the resolution loss caused by the ...

  4. Paint.NET - Wikipedia

    en.wikipedia.org/wiki/Paint.net

    Paint.NET (sometimes stylized as paint.net) is a freeware general-purpose raster graphics editor program for Microsoft Windows, developed with the .NET platform.Paint.NET was originally created by Rick Brewster as a Washington State University student project, [3] and has evolved from a simple replacement for the Microsoft Paint program into a program for editing mainly graphics, with support ...

  5. GIMP - Wikipedia

    en.wikipedia.org/wiki/GIMP

    The GNU Image Manipulation Program, commonly known by its acronym GIMP (/ ɡ ɪ m p / ⓘ GHIMP), is a free and open-source raster graphics editor [3] used for image manipulation (retouching) and image editing, free-form drawing, transcoding between different image file formats, and more specialized tasks. It is extensible by means of plugins ...

  6. Difference of Gaussians - Wikipedia

    en.wikipedia.org/wiki/Difference_of_Gaussians

    When utilized for image enhancement, the difference of Gaussians algorithm is typically applied when the size ratio of kernel (2) to kernel (1) is 4:1 or 5:1. In the example images, the sizes of the Gaussian kernels employed to smooth the sample image were 10 pixels and 5 pixels.

  7. All the most jaw-dropping wardrobe malfunctions of 2017 -- so far

    www.aol.com/entertainment/2017-06-06-celebrity...

    Skin is in! There have been no shortage of wardrobe malfunctions in 2017, and we have stars like Bella Hadid, Chrissy Teigen and Courtney Stodden to thank for that.

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