Improved Self-Adaptive Image Histogram Equalization Algorithm

Na Xin Peng; Yu Qiang Chen

doi:10.4028/www.scientific.net/AMR.760-762.1495

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 760-762Improved Self-Adaptive Image Histogram...

Improved Self-Adaptive Image Histogram Equalization Algorithm

Abstract:

Histogram equalization (HE) algorithm is wildly used method in image processing of contrast adjustment using images histogram. This method is useful in images with backgrounds and foreground that are both bright or both dark. But the performance of HE is not satisfactory to images with backgrounds and foregrounds that are both bright or both dark. To deal with the above problem, [ gives an improved histogram equalization algorithm named self-adaptive image histogram equalization (SIHE) algorithm. Its main idea is to extend the gray level of the image which firstly be processed by the classical histogram equalization algorithm. This paper gives detailed introduction to SIHE and analyzes the shortage of it, then give an improved version of SIHE named ISIHE, finally do experiments to show the performance of our algorithm.

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Periodical:

Advanced Materials Research (Volumes 760-762)

Pages:

1495-1500

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.760-762.1495

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Online since:

September 2013

Authors:

Na Xin Peng, Yu Qiang Chen

Keywords:

Gray Level, Histogram Equalization, ISIHE, SIHE

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