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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. Photographic print toning - Wikipedia

    en.wikipedia.org/wiki/Photographic_print_toning

    Toning can be simulated digitally, either in-camera or in post-processing. The in-camera effect, as well as beginner tutorials given for software like Photoshop or GIMP, use a simple tint. More sophisticated software tends to implement sepia tones using the duotone feature. Simpler photo-editing software usually has an option to sepia-tone an ...

  5. Quantization (image processing) - Wikipedia

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

    This technique is commonly used for simplifying images, reducing storage requirements, and facilitating processing operations. In grayscale quantization, an image with N intensity levels is converted into an image with a reduced number of levels, typically L levels, where L<N. The process involves mapping each pixel's original intensity value ...

  6. Color space - Wikipedia

    en.wikipedia.org/wiki/Color_space

    Color space conversion is the translation of the representation of a color from one basis to another. This typically occurs in the context of converting an image that is represented in one color space to another color space, the goal being to make the translated image look as similar as possible to the original.

  7. Dither - Wikipedia

    en.wikipedia.org/wiki/Dither

    Modest dithering can resolve this without making the image appear grainy. High-end still image processing software commonly uses these techniques for improved display. Another useful application of dithering is for situations in which the graphics file format is the limiting factor.

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