Color and Contrast Enhancement by Controlled Piecewise Affine Histogram Equalization

By Jose Luis Lisani, Ana Belén Petro, Catalina Sbert. 2012

22 citations recorded by the source corpus.

This paper presents a simple contrast enhancement algorithm based on histogram equalization (HE). The proposed algorithm performs a piecewise affine transform of the i ntensity levels of a digital image such that the new histogram function will be approximately uniform (as with HE), but where the stretching of the range is locally controlled to avoid brutal noise enhancement. We call this algorithm Piecewise Affine Equalization (PAE). Several experiments show that, in general, the new algorithm improves HE results. Source Code The proposed algorithm has been implemented in ANSI C. The source code, the code documentation, and the online demo are accessible from the web page of this article 1 .

Subfields: Computer Vision and Pattern Recognition

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In Computer Vision and Pattern Recognition

Citations in the corpus

I-Pic: A Platform for Privacy-Compliant Image Capture (2016, methodology): “The camera output on the tablet (available as a JPEG file) is first histogram equalized [27] and then resized to 640x360 before being input to HeadHunter.”