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Proceedings Paper

Comparative study of histogram equalization algorithms for image enhancement
Author(s): Li Lu; Yicong Zhou; Karen Panetta; Sos Agaian
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Paper Abstract

Histogram equalization is one of the common tools for improving contrast in digital photography, remote sensing, medical imaging, and scientific visualization. It is a process for recovering lost contrast in an image by remapping the brightness values in such a way that equalizes or more evenly distributes its brightness values. However, Histogram Equalization may significantly change the brightness of the entire image and generate undesirable artifacts. Therefore, many Histogram Equalization based algorithms have been developed to overcome this problem. This paper presents a comprehensive review study of Histogram Equalization based algorithms. Computer simulations and analysis are provided to compare the enhancement performance of several Histogram Equalization based algorithms. A secondderivative- like enhancement measure is introduced to quantitatively evaluate their performance for image enhancement.

Paper Details

Date Published: 28 April 2010
PDF: 11 pages
Proc. SPIE 7708, Mobile Multimedia/Image Processing, Security, and Applications 2010, 770811 (28 April 2010); doi: 10.1117/12.853502
Show Author Affiliations
Li Lu, Tufts Univ. (United States)
Yicong Zhou, Tufts Univ. (United States)
Karen Panetta, Tufts Univ. (United States)
Sos Agaian, The Univ. of Texas at San Antonio (United States)

Published in SPIE Proceedings Vol. 7708:
Mobile Multimedia/Image Processing, Security, and Applications 2010
Sos S. Agaian; Sabah A. Jassim, Editor(s)

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