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2. Normalization (image processing) - Wikipedia

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

   max is the maximum value for color level in the input image within the selected kernel. min is the minimum value for color level in the input image within the selected kernel. [4] Local contrast stretching considers each range of color palate in the image (R, G, and B) separately, providing a set of minimum and maximum values for each color palate.

3. Phase stretch transform - Wikipedia

   en.wikipedia.org/wiki/Phase_Stretch_Transform

   In this figure detected features (in red) are overlaid with the original SAR image. Feature detection on 1-D time domain data using phase stretch transform. Phase stretch transform (PST) is a computational approach to signal and image processing. One of its utilities is for feature detection and classification.

4. 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.

5. Image scaling - Wikipedia

   en.wikipedia.org/wiki/Image_scaling

   An image scaled with nearest-neighbor scaling (left) and 2×SaI scaling (right) In computer graphics and digital imaging, image scaling refers to the resizing of a digital image. In video technology, the magnification of digital material is known as upscaling or resolution enhancement.

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7. Transformation matrix - Wikipedia

   en.wikipedia.org/wiki/Transformation_matrix

   A stretch in the xy-plane is a linear transformation which enlarges all distances in a particular direction by a constant factor but does not affect distances in the perpendicular direction. We only consider stretches along the x-axis and y-axis. A stretch along the x-axis has the form x' = kx; y' = y for some positive constant k.