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2. Gaussian blur - Wikipedia

   en.wikipedia.org/wiki/Gaussian_blur

   The difference between a small and large Gaussian blur. In image processing, a Gaussian blur (also known as Gaussian smoothing) is the result of blurring an image by a Gaussian function (named after mathematician and scientist Carl Friedrich Gauss). It is a widely used effect in graphics software, typically to reduce image noise and reduce detail.

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. Let's Enhance - Wikipedia

   en.wikipedia.org/wiki/Let's_Enhance

   Let's Enhance [1] is a Ukrainian start-up [2] which develops an online service driven by artificial intelligence which allows improving images and zooming them without losing quality. [3] According to the developers, [4] they used the super-resolution technology of machine learning. The neural network, trained on a large base of real ...

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. Comparison of image viewers - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_image_viewers

   Via Photoshop: contact sheet, merge to HDR, PDF presentation, photomerge, Web picture gallery Proprietary: Adobe Lightroom: Library organization, RAW and JPEG editing, slideshow tools, print layout and preferences, web gallery creation and uploading Proprietary: Aperture: Proprietary: CDisplay

7. 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.