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For 16-bit pixels, they use pixel masks which change based on whether the 16-bit pixel format is 565 or 555. The constants colorMask, lowPixelMask, qColorMask, qLowPixelMask, redBlueMask, and greenMask are 16-bit masks. The lower 8 bits are identical in either pixel format. Two interpolation functions are described:
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 ...
In comparison to the raw pixel information captured by the image sensor, the output pixels could be formatted differently based on the active pixel format. For several digital cameras, this format is a user-configurable feature; the available pixel formats on a particular camera depends on the type and model of the camera. [1] [2]
hOCR is an open standard of data representation for formatted text obtained from optical character recognition (OCR). The definition encodes text, style, layout information, recognition confidence metrics and other information using Extensible Markup Language (XML) in the form of Hypertext Markup Language (HTML) or XHTML.
The format has been updated several times, adding support for tiles, mipmaps, new compression methods, and other features. [9] In 2007, OpenEXR was honored with an Academy Award for Technical Achievement. [9] OpenEXR 2.0 was released in April 2013, extending the format with support for deep image buffers and multiple images embedded in a single ...
YCbCr is sometimes abbreviated to YCC.Typically the terms Y′CbCr, YCbCr, YPbPr and YUV are used interchangeably, leading to some confusion. The main difference is that YPbPr is used with analog images and YCbCr with digital images, leading to different scaling values for U max and V max (in YCbCr both are ) when converting to/from YUV.
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FPN is a general term that identifies a temporally constant lateral non-uniformity (forming a constant pattern) in an imaging system with multiple detector or picture elements . It is characterised by the same pattern of variation in pixel-brightness occurring in images taken under the same illumination conditions in an imaging array.