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  2. Image color transfer - Wikipedia

    en.wikipedia.org/wiki/Image_color_transfer

    There are two types of image color transfer algorithms: those that employ the statistics of the colors of two images, and those that rely on a given pixel correspondence between the images. In a wide-ranging review, Faridul and others [ 1 ] identify a third broad category of implementation, namely user-assisted methods.

  3. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    Image editors have provisions to create an image histogram of the image being edited. The histogram plots the number of pixels in the image (vertical axis) with a particular brightness value (horizontal axis). Algorithms in the digital editor allow the user to visually adjust the brightness value of each pixel and to dynamically display the ...

  4. Help:Keyboard shortcuts - Wikipedia

    en.wikipedia.org/wiki/Help:Keyboard_shortcuts

    page-info-kbd-shortcut [6] – The "I" keyboard shortcut now opens the "Page information" link in your sidebar. superjump [7] – Custom keyboard shortcuts to go to any page. accessKeysCheatSheet [8] - The "?" keyboard shortcut now overlays a list of all keyboard shortcuts available on the current page.

  5. Keyboard shortcut - Wikipedia

    en.wikipedia.org/wiki/Keyboard_shortcut

    Keyboard shortcuts are typically a means for invoking one or more commands using the keyboard that would otherwise be accessible only through a menu, a pointing device, different levels of a user interface, or via a command-line interface. Keyboard shortcuts are generally used to expedite common operations by reducing input sequences to a few ...

  6. Color histogram - Wikipedia

    en.wikipedia.org/wiki/Color_histogram

    A histogram of an image is produced first by discretization of the colors in the image into a number of bins, and counting the number of image pixels in each bin. For example, a Red–Blue chromaticity histogram can be formed by first normalizing color pixel values by dividing RGB values by R+G+B, then quantizing the normalized R and B ...

  7. 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 ...

  8. Character Map (Windows) - Wikipedia

    en.wikipedia.org/wiki/Character_Map_(Windows)

    The tool is usually useful for entering special characters. [1] It can be opened via the command-line interface or Run command dialog using the 'charmap' command.. The "Advanced view" check box can be used to inspect the character sets in a font according to different encodings (), including Unicode code ranges, to locate particular characters by their Unicode code point and to search for ...

  9. 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.