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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. Affinity Photo - Wikipedia

    en.wikipedia.org/wiki/Affinity_Photo

    Affinity Photo has been described as an Adobe Photoshop alternative, and is compatible with common file formats such as Adobe's PSD (including Photoshop Smart Objects). [9] [10] [11] Functionality includes RAW processing, color space options, live preview of effects, image stitching, alpha compositing, black point compensation, and optical aberration corrections. [2]

  4. How to use Photo Unblur on the Google Pixel 7 - AOL

    www.aol.com/news/photo-unblur-google-pixel-7...

    Thanks to the Tensor G2 chipset in the Pixel 7 and Pixel 7 Pro, your blurry photos can now be fixed in Google Photos. Here's how to use the Photo Unblur feature.

  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. Picsart - Wikipedia

    en.wikipedia.org/wiki/Picsart

    Picsart was founded in November 2011 by Armenian entrepreneur Hovhannes Avoyan, and Armenian programmers Artavazd Mehrabyan and Mikayel Vardanyan. [3] Its founders developed the first Picsart application as a stand-alone tool to help people alter a photo image on their phone, and additional capabilities were added over time. [4]

  7. 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.