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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. Tesseract (software) - Wikipedia

    en.wikipedia.org/wiki/Tesseract_(software)

    Tesseract is an optical character recognition engine for various operating systems. [5] It is free software, released under the Apache License. [1] [6] [7] Originally developed by Hewlett-Packard as proprietary software in the 1980s, it was released as open source in 2005 and development was sponsored by Google in 2006.

  4. VIPS (software) - Wikipedia

    en.wikipedia.org/wiki/VIPS_(software)

    Compared to most image processing libraries VIPS needs little RAM and runs quickly, especially on machines with more than one CPU. This is primarily due to its architecture which automatically parallelises the image workflows. [5] The software has two main parts: libvips is the image-processing library and nip2 is the graphical user-interface.

  5. FastStone Image Viewer - Wikipedia

    en.wikipedia.org/wiki/FastStone_Image_Viewer

    FastStone Image Viewer is an image viewer and organizer software for Microsoft Windows, provided free of charge for personal and educational use. The program also includes basic image editing tools, [ 4 ] like cropping, color adjustment and red-eye removal.

  6. 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 ...

  7. 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 ...