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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. 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.

  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. 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.

  6. Scale-invariant feature transform - Wikipedia

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

    In contrast to the classic SIFT approach, Wagner et al. use the FAST corner detector for feature detection. The algorithm also distinguishes between the off-line preparation phase where features are created at different scale levels and the on-line phase where features are only created at the current fixed scale level of the phone's camera image.

  7. Edge detection - Wikipedia

    en.wikipedia.org/wiki/Edge_detection

    The phase stretch transform or PST is a physics-inspired computational approach to signal and image processing. One of its utilities is for feature detection and classification. [19] [20] PST is a spin-off from research on the time stretch dispersive Fourier transform. PST transforms the image by emulating propagation through a diffractive ...

  8. Russian woman charged with sneaking aboard Delta Air Lines ...

    www.aol.com/russian-woman-charged-sneaking...

    A woman accused of sneaking onto a Delta Air Lines flight from New York to Paris was arraigned last week and charged with knowingly stowing away aboard an aircraft without consent.. Svetlana Dali ...

  9. Phase stretch transform - Wikipedia

    en.wikipedia.org/wiki/Phase_Stretch_Transform

    The operation relies on symmetry of the dispersion profile and can be understood in terms of dispersive eigenfunctions or stretch modes. [4] PST performs similar functionality as phase-contrast microscopy, but on digital images. PST can be applied to digital images and temporal (time series) data.