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  2. Photo-consistency - Wikipedia

    en.wikipedia.org/wiki/Photo-consistency

    In computer vision, photo-consistency determines whether a given voxel is occupied. A voxel is considered to be photo consistent when its color appears to be similar to all the cameras that can see it. [ 1 ]

  3. Normalization (image processing) - Wikipedia

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

    Often, the motivation is to achieve consistency in dynamic range for a set of data, signals, or images to avoid mental distraction or fatigue. For example, a newspaper will strive to make all of the images in an issue share a similar range of grayscale. Normalization transforms an n-dimensional grayscale image : {} {,..

  4. Color constancy - Wikipedia

    en.wikipedia.org/wiki/Color_constancy

    Color constancy: The colors of a hot air balloon are recognized as being the same in sun and shade. Example of the Land effect. Color constancy makes the above image appear to have red, green and blue hues, especially if it is the only light source in a dark room, even though it is composed of only light and dark shades of red and white.

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  6. 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.

  7. Image quality - Wikipedia

    en.wikipedia.org/wiki/Image_quality

    Oversharpening, can degrade image quality by causing "halos" to appear near contrast boundaries. Images from many compact digital cameras are sometimes oversharpened to compensate for lower image quality. Noise is a random variation of image density, visible as grain in film and pixel level variations in digital images. It arises from the ...

  8. Inverse consistency - Wikipedia

    en.wikipedia.org/wiki/Inverse_consistency

    registering a source image to a target image consists of determining a transformation : that maps points from the target space to the source space. [6] An ideal registration algorithm should not be sensitive to which image in the pair is used as source or target, and the registration operator should be antisymmetric such that the mappings

  9. Figure–ground (perception) - Wikipedia

    en.wikipedia.org/wiki/Figure–ground_(perception)

    Figure–ground organization is used to help artists and designers in composition of a 2D piece. Figure–ground reversal may be used as an intentional visual design technique in which an existing image's foreground and background colors are purposely swapped to create new images.