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  2. HSL and HSV - Wikipedia

    en.wikipedia.org/wiki/HSL_and_HSV

    Fig. 1. HSL (a–d) and HSV (e–h). Above (a, e): cut-away 3D models of each. Below: two-dimensional plots showing two of a model's three parameters at once, holding the other constant: cylindrical shells (b, f) of constant saturation, in this case the outside surface of each cylinder; horizontal cross-sections (c, g) of constant HSL lightness or HSV value, in this case the slices halfway ...

  3. Raster graphics - Wikipedia

    en.wikipedia.org/wiki/Raster_graphics

    Most computer images are stored in raster graphics formats or compressed variations, including GIF, JPEG, and PNG, which are popular on the World Wide Web. [ 4 ] [ 5 ] A raster data structure is based on a (usually rectangular, square-based) tessellation of the 2D plane into cells, each containing a single value.

  4. Additive color - Wikipedia

    en.wikipedia.org/wiki/Additive_color

    Additive color or additive mixing is a property of a color model that predicts the appearance of colors made by coincident component lights, i.e. the perceived color can be predicted by summing the numeric representations of the component colors. [1]

  5. Color space - Wikipedia

    en.wikipedia.org/wiki/Color_space

    CMYK uses subtractive color mixing used in the printing process, because it describes what kind of inks need to be applied so the light reflected from the substrate and through the inks produces a given color. One starts with a white substrate (canvas, page, etc.), and uses ink to subtract color from white to create an image.

  6. Primary color - Wikipedia

    en.wikipedia.org/wiki/Primary_color

    Overlapping layers of ink in printing mix subtractively over reflecting white paper, while the reflected light mixes in a partitive way to generate color images. [ 9 ] : 30–33 [ 19 ] Importantly, unlike additive mixture, the color of the mixture is not well predicted by the colors of the individual dyes or inks.

  7. Co-occurrence matrix - Wikipedia

    en.wikipedia.org/wiki/Co-occurrence_matrix

    A co-occurrence matrix or co-occurrence distribution (also referred to as : gray-level co-occurrence matrices GLCMs) is a matrix that is defined over an image to be the distribution of co-occurring pixel values (grayscale values, or colors) at a given offset. It is used as an approach to texture analysis with various applications especially in ...

  8. Ordered dithering - Wikipedia

    en.wikipedia.org/wiki/Ordered_dithering

    An optimal threshold matrix is one that for any possible quantisation of color has the minimum possible texture so that the greatest impression of the underlying feature comes from the image being quantised. It can be proven that for matrices whose side length is a power of two there is an optimal threshold matrix. [2]

  9. CMYK color model - Wikipedia

    en.wikipedia.org/wiki/CMYK_color_model

    The amount of black to use to replace amounts of the other inks is variable, and the choice depends on the technology, paper and ink in use. Processes called under color removal, under color addition, and gray component replacement are used to decide on the final mix; different CMYK recipes will be used depending on the printing task. [6]