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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. 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.

  5. Unsharp masking - Wikipedia

    en.wikipedia.org/wiki/Unsharp_masking

    For image processing, deconvolution is the process of approximately inverting the process that caused an image to be blurred. Specifically, unsharp masking is a simple linear image operation—a convolution by a kernel that is the Dirac delta minus a gaussian blur kernel.

  6. Sumo Paint - Wikipedia

    en.wikipedia.org/wiki/Sumo_Paint

    Sumopaint, also written as Sumo Paint is a free painting and drawing web application similar to Adobe Photoshop. [1] [2] [3] Sumopaint has web-based "paint" features similar in some respects to Pixlr. [4] It was originally created in 2008 by Sumo Limited. [5]

  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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