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2. Image editing - Wikipedia

   en.wikipedia.org/wiki/Image_editing

   Image editors may feature a number of algorithms which can add or remove noise in an image. Some JPEG artifacts can be removed; dust and scratches can be removed and an image can be de-speckled. Noise reduction merely estimates the state of the scene without the noise and is not a substitute for obtaining a "cleaner" image.

3. 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 ...

4. Transparency (graphic) - Wikipedia

   en.wikipedia.org/wiki/Transparency_(graphic)

   This image shows the results of overlaying each of the above transparent PNG images on a background color of #6080A0. Note the gray fringes on the letters of the middle image. This shows how the above images would look when, for example, editing them. The grey and white check pattern would be converted into transparency.

5. Wikipedia:Removal of non-free images - Wikipedia

   en.wikipedia.org/wiki/Wikipedia:Removal_of_non...

   Monitor the next edits to the userpage in question to ensure the image removal is not reverted or replaced with another fair use image. Remove the fair use image, leaving a highly descriptive edit summary of what was done and why. Monitor the next edits to the userpage in question to ensure the image removal is not reverted or replaced with ...

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. 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.