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  2. Normalization (image processing) - Wikipedia

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

    A Contrast Stretching Transformation can be achieved by: Contrast Stretching Transformation Graph reference for derivation. 1. Stretching the dark range of input values into a wider range of output values: This involves increasing the brightness of the darker areas in the image to enhance details and improve visibility. 2.

  3. File:TEM Ray Diagram with Phase Contrast Transfer Function.pdf

    en.wikipedia.org/wiki/File:TEM_Ray_Diagram_with...

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  4. 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.

  5. Histogram equalization - Wikipedia

    en.wikipedia.org/wiki/Histogram_equalization

    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. There are two ways to think about and implement histogram equalization, either as image change or as palette change.

  6. 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.

  7. Computer vision - Wikipedia

    en.wikipedia.org/wiki/Computer_vision

    Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or videos.From the perspective of engineering, it seeks to automate tasks that the human visual system can do.

  8. Scale-invariant feature transform - Wikipedia

    en.wikipedia.org/wiki/Scale-invariant_feature...

    where the model translation is [t x t y] T and the affine rotation, scale, and stretch are represented by the parameters m 1, m 2, m 3 and m 4. To solve for the transformation parameters the equation above can be rewritten to gather the unknowns into a column vector.

  9. Gamma correction - Wikipedia

    en.wikipedia.org/wiki/Gamma_correction

    Graphics card and monitor contrast and brightness have an influence on effective gamma, and should not be changed after gamma correction is completed. The top two bars of the test image help to set correct contrast and brightness values. There are eight three-digit numbers in each bar.

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