Comparative study of histogram equalization algorithms for image enhancement

Li Lu; Yicong Zhou; Karen Panetta; Sos Agaian

doi:10.1117/12.853502

28 April 2010 Comparative study of histogram equalization algorithms for image enhancement

Li Lu, Yicong Zhou, Karen Panetta, Sos Agaian

Proceedings Volume 7708, Mobile Multimedia/Image Processing, Security, and Applications 2010; 770811 (2010) https://doi.org/10.1117/12.853502
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

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.

Citation Download Citation

Li Lu, Yicong Zhou, Karen Panetta, and Sos Agaian "Comparative study of histogram equalization algorithms for image enhancement", Proc. SPIE 7708, Mobile Multimedia/Image Processing, Security, and Applications 2010, 770811 (28 April 2010); https://doi.org/10.1117/12.853502

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