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  2. Pixel shifting - Wikipedia

    en.wikipedia.org/wiki/Pixel_shifting

    Pixel shifting by movement of one or more sensors is a technique to increase resolution [3] and/or colour rendering [4] of image capturing devices. The image at right displays the visible gain both in detail and in colour resolution produced by the Sony α7R IV 16-shot pixel shift mode, which results in a 240 Mpixel image, as compared to a ...

  3. Pixel shift - Wikipedia

    en.wikipedia.org/wiki/Pixel_shift

    This very fine level of resolution was derived by merging four precursor images taken at sensor positions just one pixel apart. Comparison of simple image (left) and image generated with pixel shift (right) (Click to enlarge) Pixel shift is a method in digital cameras for producing a super resolution image. The method works by taking several ...

  4. Chromostereopsis - Wikipedia

    en.wikipedia.org/wiki/Chromostereopsis

    Chromostereopsis is a visual illusion whereby the impression of depth is conveyed in two-dimensional color images, usually of red–blue or red–green colors, but can also be perceived with red–grey or blue–grey images. [1] [2] Such illusions have been reported for over a century and have generally been attributed to some form of chromatic ...

  5. List of common display resolutions - Wikipedia

    en.wikipedia.org/wiki/List_of_common_display...

    This chart shows the most common display resolutions, with the color of each resolution type indicating the display ratio (e.g., red indicates a 4:3 ratio).

  6. Binocular disparity - Wikipedia

    en.wikipedia.org/wiki/Binocular_disparity

    The disparity of features between two stereo images are usually computed as a shift to the left of an image feature when viewed in the right image. [3] For example, a single point that appears at the x coordinate t (measured in pixels) in the left image may be present at the x coordinate t − 3 in the right image. In this case, the disparity ...

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  9. Structural similarity index measure - Wikipedia

    en.wikipedia.org/wiki/Structural_similarity...

    In order to evaluate the image quality, this formula is usually applied only on luma, although it may also be applied on color (e.g., RGB) values or chromatic (e.g. YCbCr) values. The resultant SSIM index is a decimal value between -1 and 1, where 1 indicates perfect similarity, 0 indicates no similarity, and -1 indicates perfect anti-correlation.