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  2. Pixelization - Wikipedia

    en.wikipedia.org/wiki/Pixelization

    Pixelization (in British English pixelisation) or mosaic processing is any technique used in editing images or video, whereby an image is blurred by displaying part or all of it at a markedly lower resolution.

  3. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    Image editing encompasses the processes of altering images, whether they are digital photographs, traditional photo-chemical photographs, or illustrations. Traditional analog image editing is known as photo retouching, using tools such as an airbrush to modify photographs or edit illustrations with any traditional art medium.

  4. Fatpaint - Wikipedia

    en.wikipedia.org/wiki/Fatpaint

    Fatpaint is a free, online graphic design and desktop publishing software product and image editor. It includes integrated tools for creating page layout , painting, coloring and editing pictures and photos , drawing vector images , using dingbat vector clipart , writing rich text , creating ray traced 3D text logos and displaying graphics on ...

  5. Unsharp masking - Wikipedia

    en.wikipedia.org/wiki/Unsharp_masking

    Specifically, unsharp masking is a simple linear image operation—a convolution by a kernel that is the Dirac delta minus a gaussian blur kernel. Deconvolution, on the other hand, is generally considered an ill-posed inverse problem that is best solved by nonlinear approaches. While unsharp masking increases the apparent sharpness of an image ...

  6. Kernel (image processing) - Wikipedia

    en.wikipedia.org/wiki/Kernel_(image_processing)

    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.

  7. Median filter - Wikipedia

    en.wikipedia.org/wiki/Median_filter

    The median filter is a non-linear digital filtering technique, often used to remove noise from an image, [1] signal, [2] and video. [3] Such noise reduction is a typical pre-processing step to improve the results of later processing (for example, edge detection on an image).

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