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2. Grayscale - Wikipedia

   en.wikipedia.org/wiki/Grayscale

   The TIFF and PNG (among other) image file formats support 16-bit grayscale natively, although browsers and many imaging programs tend to ignore the low order 8 bits of each pixel. Internally for computation and working storage, image processing software typically uses integer or floating-point numbers of size 16 or 32 bits.

3. 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.

4. Channel (digital image) - Wikipedia

   en.wikipedia.org/wiki/Channel_(digital_image)

   A channel in this context is the grayscale image of the same size as a color image, [citation needed] made of just one of these primary colors. For instance, an image from a standard digital camera will have a red, green and blue channel. A grayscale image has just one channel.

5. Histogram equalization - Wikipedia

   en.wikipedia.org/wiki/Histogram_equalization

   Histogram equalization is a method in image processing of contrast adjustment using the image's ... The above describes histogram equalization on a grayscale image.

6. Quantization (image processing) - Wikipedia

   en.wikipedia.org/.../Quantization_(image_processing)

   Grayscale quantization, also known as gray level quantization, is a process in digital image processing that involves reducing the number of unique intensity levels (shades of gray) in an image while preserving its essential visual information.

7. Dilation (morphology) - Wikipedia

   en.wikipedia.org/wiki/Dilation_(morphology)

   Example of dilation on a grayscale image using a 5x5 flat structuring element. The top figure demonstrates the application of the structuring element window to the individual pixels of the original image. The bottom figure shows the resulting dilated image. It is common to use flat structuring elements in morphological applications.

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9. Erosion (morphology) - Wikipedia

   en.wikipedia.org/wiki/Erosion_(morphology)

   Erosion (usually represented by ⊖) is one of two fundamental operations (the other being dilation) in morphological image processing from which all other morphological operations are based. It was originally defined for binary images , later being extended to grayscale images, and subsequently to complete lattices .