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Linear Histogram Adjustment for Image Enhancement
  DOI :  10.2352/issn.2694-118X.2020.LIM-19  Published OnlineSeptember 2020
Abstract

Tone curves are one of the simplest techniques for image enhancement. Specified as a function, a tone curve is a transformation that maps pixel levels of an input image to new output levels. Tone curves are the basis of many contrast enhancement algorithms, including Contrast Limited Histogram Equalisation (CLHE), which derives a tone curve from a modification of the image histogram. While these methods can provide good enhancement, they are generally non-linear. In this paper we show the surprising result that a tone curve generated by the non-linear CLHE method (and HE) can be calculated by applying a linear transform to the histogram of the input image. Experiments validate our method.

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  Cite this article 

Jake McVey, "Linear Histogram Adjustment for Image Enhancementin London Imaging Meeting,  2020,  pp 65 - 68,  https://doi.org/10.2352/issn.2694-118X.2020.LIM-19

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Copyright © Society for Imaging Science and Technology 2020
75011771
London Imaging Meeting
2694-118X
2694-118x
Society for Imaging Science and Technology