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Working with Pixels

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Foundations of Computer Vision

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 124))

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Abstract

A pixel (aka picture element) is an element at position (rc) (row, column) in a digital image I . A pixel represents the smallest constituent element in a digital image. Typically, each pixel in a raster image is represented by a tiny square called a raster image tile. Raster image technology has its origins in the raster scan of cathode ray tube (CRT) displays in which images are rendered line-by-line by magnetically steering a focused electron beam. Usually, computer monitors have bitmapped displays in which each screen pixel corresponds to its bit depth, i.e., number of pixels used to render pixel colour channels.

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Notes

  1. 1.

    Many other ways to compute the probability of a pixel intensity img(xy) are possible. There is a restriction:

    $$ \mathop {\sum }\limits _{i=1}^{n*m}p_i(img(r, c)) = 1, 1\le r\le m, 1\le c\le n. $$
  2. 2.

    Many thanks to Patrik Dahlström for pointing out the corrections in eg_log1.m.

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Correspondence to James F. Peters .

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Peters, J.F. (2017). Working with Pixels. In: Foundations of Computer Vision. Intelligent Systems Reference Library, vol 124. Springer, Cham. https://doi.org/10.1007/978-3-319-52483-2_2

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  • DOI: https://doi.org/10.1007/978-3-319-52483-2_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52481-8

  • Online ISBN: 978-3-319-52483-2

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