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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. Bundle adjustment - Wikipedia

    en.wikipedia.org/wiki/Bundle_adjustment

    More formally, [3] assume that 3D points are seen in views and let be the projection of the th point on image . Let v i j {\displaystyle \displaystyle v_{ij}} denote the binary variables that equal 1 if point i {\displaystyle i} is visible in image j {\displaystyle j} and 0 otherwise.

  4. 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.

  5. Histogram equalization - Wikipedia

    en.wikipedia.org/wiki/Histogram_equalization

    For example, if applied to 8-bit image displayed with 8-bit gray-scale palette it will further reduce color depth (number of unique shades of gray) of the image. 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.

  6. Template:Annotated image 4 - Wikipedia

    en.wikipedia.org/wiki/Template:Annotated_image_4

    This template is a software fork of {{Annotated image}} that was made for annotating generic images, like the thumbnail below, and page-spanning diagrams (e.g., many of the these image insertion templates) with a more normal appearance, a heading, and more alignment options than Template:Annotated image.

  7. Histogram matching - Wikipedia

    en.wikipedia.org/wiki/Histogram_matching

    In image processing, histogram matching or histogram specification is the transformation of an image so that its histogram matches a specified histogram. [1] The well-known histogram equalization method is a special case in which the specified histogram is uniformly distributed .

  8. Promoting Healthy Choices: Information vs. Convenience - HuffPost

    images.huffingtonpost.com/2012-12-21-promoting...

    varied by: 1) provision of general calorie recommendations, 2) provision of specific calorie information, and 3) whether high- or low-calorie items were more easily accessible. Results suggest that a strictly informational approach may be less effective than subtle guidance in enticing fast-food customers towards healthier meals.

  9. Optical transfer function - Wikipedia

    en.wikipedia.org/wiki/Optical_transfer_function

    Often the contrast reduction is of most interest and the translation of the pattern can be ignored. The relative contrast is given by the absolute value of the optical transfer function, a function commonly referred to as the modulation transfer function (MTF). Its values indicate how much of the object's contrast is captured in the image as a ...