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  2. Edge enhancement - Wikipedia

    en.wikipedia.org/wiki/Edge_enhancement

    Edge enhancement is an image processing filter that enhances the edge contrast of an image or video in an attempt to improve its acutance (apparent sharpness).. The filter works by identifying sharp edge boundaries in the image, such as the edge between a subject and a background of a contrasting color, and increasing the image contrast in the area immediately around the edge.

  3. Texture filtering - Wikipedia

    en.wikipedia.org/wiki/Texture_filtering

    Mipmapping is a standard technique used to save some of the filtering work needed during texture minification. [2] It is also highly beneficial for cache coherency - without it the memory access pattern during sampling from distant textures will exhibit extremely poor locality, adversely affecting performance even if no filtering is performed.

  4. Acutance - Wikipedia

    en.wikipedia.org/wiki/Acutance

    Acutance in the left line was artificially increased by adding a one-pixel-wide darker border on the outside of the line and a one-pixel-wide brighter border on the inside of the line. The actual sharpness of the image is unchanged, but the apparent sharpness is increased because of the greater acutance. Artificially increased acutance has ...

  5. Unsharp masking - Wikipedia

    en.wikipedia.org/wiki/Unsharp_masking

    Digital unsharp masking is a flexible and powerful way to increase sharpness, especially in scanned images. Unfortunately, it may create unwanted conspicuous edge effects or increase image noise. However, these effects can be used creatively, especially if a single channel of an RGB or Lab image is sharpened.

  6. Image texture - Wikipedia

    en.wikipedia.org/wiki/Image_texture

    Artificial texture example. Natural texture example. An image texture is the small-scale structure perceived on an image, based on the spatial arrangement of color or intensities. [1] It can be quantified by a set of metrics calculated in image processing. Image texture metrics give us information about the whole image or selected regions. [1]

  7. Mipmap - Wikipedia

    en.wikipedia.org/wiki/Mipmap

    The increase in storage space required for all of these mipmaps is a third of the original texture, because the sum of the areas 1/4 + 1/16 + 1/64 + 1/256 + ⋯ converges to 1/3. In the case of an RGB image with three channels stored as separate planes, the total mipmap can be visualized as fitting neatly into a square area twice as large as ...

  8. Sharpness - Wikipedia

    en.wikipedia.org/wiki/Sharpness

    Sharpness may refer to: Sharpness, Gloucestershire, a port in England; Sharpness (cutting), the capacity of a surface to initiate a cut on another surface; Sharpness (visual), a combination of resolution and acutance Critical focus or critical sharpness, the area of maximal optical resolution; Sharpness of vision, or visual acuity

  9. Visual acuity - Wikipedia

    en.wikipedia.org/wiki/Visual_acuity

    For 6/6 = 1.0 acuity, the size of a letter on the Snellen chart or Landolt C chart is a visual angle of 5 arc minutes (1 arc min = 1/60 of a degree), which is a 43 point font at 20 feet. [10] By the design of a typical optotype (like a Snellen E or a Landolt C), the critical gap that needs to be resolved is 1/5 this value, i.e., 1 arc min.

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