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2. Image restoration by artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Image_restoration_by...

   Image enhancement techniques (like contrast stretching or de-blurring by a nearest neighbor procedure) provided by imaging packages use no a priori model of the process that created the image. With image enhancement noise can effectively be removed by sacrificing some resolution, but this is not acceptable in many applications.

3. Image editing - Wikipedia

   en.wikipedia.org/wiki/Image_editing

   Camera or computer image editing programs often offer basic automatic image enhancement features that correct color hue and brightness imbalances as well as other image editing features, such as red eye removal, sharpness adjustments, zoom features and automatic cropping. These are called automatic because generally they happen without user ...

4. Adaptive histogram equalization - Wikipedia

   en.wikipedia.org/wiki/Adaptive_histogram...

   Adaptive histogram equalization (AHE) is a computer image processing technique used to improve contrast in images. It differs from ordinary histogram equalization in the respect that the adaptive method computes several histograms, each corresponding to a distinct section of the image, and uses them to redistribute the lightness values of the image.

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. Histogram equalization - Wikipedia

   en.wikipedia.org/wiki/Histogram_equalization

   For example, if applied to 8-bit image displayed with 8-bit gray-scale palette it will further reduce color depth (number of unique shades of gray) of the image. Histogram equalization will work the best when applied to images with much higher color depth than palette size, like continuous data or 16-bit gray-scale images.

7. Normalization (image processing) - Wikipedia

   en.wikipedia.org/wiki/Normalization_(image...

   The contrast enhancement tries to change the intensity of the pixel in the image, particularly in the input image for the purpose to obtain a more enhanced image .It is based on the number of techniques namely local, global, dark and bright levels of contrast .The contrast enhancement is considered as the amount of color or gray differentiation ...