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  2. Image histogram - Wikipedia

    en.wikipedia.org/wiki/Image_histogram

    Histogram equalization is a popular example of these algorithms. Improvements in picture brightness and contrast can thus be obtained. In the field of computer vision, image histograms can be useful tools for thresholding. Because the information contained in the graph is a representation of pixel distribution as a function of tonal variation ...

  3. Local binary patterns - Wikipedia

    en.wikipedia.org/wiki/Local_binary_patterns

    Multi-block LBP: the image is divided into many blocks, a LBP histogram is calculated for every block and concatenated as the final histogram. Volume Local Binary Pattern(VLBP): [11] VLBP looks at dynamic texture as a set of volumes in the (X,Y,T) space where X and Y denote the spatial coordinates and T denotes the frame index. The neighborhood ...

  4. Flutter (software) - Wikipedia

    en.wikipedia.org/wiki/Flutter_(software)

    Flutter is an open-source UI software development kit created by Google. It can be used to develop cross platform applications from a single codebase for the web , [ 4 ] Fuchsia , Android , iOS , Linux , macOS , and Windows . [ 5 ]

  5. Dart (programming language) - Wikipedia

    en.wikipedia.org/wiki/Dart_(programming_language)

    Google introduced Flutter for native app development. Built using Dart, C, C++ and Skia, Flutter is an open-source, multi-platform app UI framework. Prior to Flutter 2.0, developers could only target Android, iOS and the web. Flutter 2.0 released support for macOS, Linux, and Windows as a beta feature. [67]

  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. Exposing to the right - Wikipedia

    en.wikipedia.org/wiki/Exposing_to_the_right

    The name derives from the resulting image histogram which, according to this technique, should be placed close to the right of its display. Advantages include greater tonal range in dark areas, greater signal-to-noise ratio (SNR), [ 5 ] fuller use of the colour gamut and greater latitude during post-production .

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  9. Color histogram - Wikipedia

    en.wikipedia.org/wiki/Color_histogram

    In image processing and photography, a color histogram is a representation of the distribution of colors in an image. For digital images, a color histogram represents the number of pixels that have colors in each of a fixed list of color ranges, that span the image's color space, the set of all possible colors. The color histogram can be built ...