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  2. Census transform - Wikipedia

    en.wikipedia.org/wiki/Census_transform

    The most common version of the census transform uses a 3x3 window, comparing each pixel with all its 8-connected neighbours with a function defined as (, ′) = {> ′ ′.The results of these comparisons are concatenated and the value of the transform is an 8-bit value, that can be easily encoded in a byte.

  3. PDF/X - Wikipedia

    en.wikipedia.org/wiki/PDF/X

    PDF/X-5n: An extension of PDF/X-4p that allows the externally supplied ICC Profile for the output intent to use a color space other than Grayscale, RGB and CMYK. ISO 15930-9:2020: PDF/X-6 based on PDF 2.0 (ISO 32000‑2) and was published in November 2020. It defines the extensions PDF/X-6p and PDF/X-6n for partial exchange of printing data ...

  4. Grayscale - Wikipedia

    en.wikipedia.org/wiki/Grayscale

    Grayscale images are distinct from one-bit bi-tonal black-and-white images, which, in the context of computer imaging, are images with only two colors: black and white (also called bilevel or binary images). Grayscale images have many shades of gray in between. Grayscale images can be the result of measuring the intensity of light at each pixel ...

  5. PICT - Wikipedia

    en.wikipedia.org/wiki/PICT_(file_format)

    The PICT format has two versions: [2] PICT 1 format: The old format that only allowed eight colors and focused on compact storage. PICT 2 format: A superset of format 1 that supports 4, 8, 16 and 24-bit color and greyscale images. 32-bit color with a generally unused alpha channel is also supported.

  6. Channel (digital image) - Wikipedia

    en.wikipedia.org/wiki/Channel_(digital_image)

    In the digital realm, there can be any number of conventional primary colors making up an image; a channel in this case is extended to be the grayscale image based on any such conventional primary color. By extension, a channel is any grayscale image of the same dimension as and associated with the original image [citation needed].

  7. Binary image - Wikipedia

    en.wikipedia.org/wiki/Binary_image

    Binary images are also called bi-level or two-level. Pixel art made up of two colours is often referred to as 1-bit in reference to the single bit required to store each pixel. [2] The names black-and-white, B&W, monochrome or monochromatic are often used, but can also designate other image types with only one sample per pixel, such as ...

  8. Erosion (morphology) - Wikipedia

    en.wikipedia.org/wiki/Erosion_(morphology)

    Erosion (usually represented by ⊖) is one of two fundamental operations (the other being dilation) in morphological image processing from which all other morphological operations are based. It was originally defined for binary images, later being extended to grayscale images, and subsequently to complete lattices.

  9. Truevision TGA - Wikipedia

    en.wikipedia.org/wiki/Truevision_TGA

    10 run-length encoded true-color image; 11 run-length encoded grayscale image; Image type 1 and 9: Depending on the Pixel Depth value, image data representation is an 8, 15, or 16 bit index into a color map that defines the color of the pixel. Image type 2 and 10: The image data is a direct representation of the pixel color.