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Histogram Equalization with Range Offset for Brightness Preserved Image Enhancement
Haidi Ibrahim
Pages - 599 - 609     |    Revised - 01-11-2011     |    Published - 15-12-2011
Volume - 5   Issue - 5    |    Publication Date - November / December 2011  Table of Contents
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KEYWORDS
Digital Image Processing, Image Contrast Enhancement, Histogram Equalization
ABSTRACT
In this paper, a simple modification to Global Histogram Equalization (GHE), a well known digital image enhancement method, has been proposed. This proposed method known as Histogram Equalization with Range Offset (HERO) is divided into two stages. In its first stage, an intensity mapping function is constructed by using the cumulative density function of the input image, similar to GHE. Then, during the second stage, an offset for the intensity mapping function will be determined to maintain the mean brightness of the image, which is a crucial criterion for digital image enhancement in consumer electronic products. Comparison with some of the current histogram equalization based enhancement methods shows that HERO successfully preserves the mean brightness and give good enhancement to the image.
CITED BY (3)  
1 Sharma, K., & Mittal, D. (2015). Contrast Enhancement Technique for CT Images. Journal of Biomedical Engineering and Medical Imaging, 2(1), 44.
2 Sharma, N., Saurav, S., Singh, S., Saini, R., & Saini, A. K. (2015, August). A comparative analysis of various image enhancement techniques for facial images. In Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on (pp. 2279-2284). IEEE.
3 Kong, N. S. P., Ibrahim, H., & Hoo, S. C. (2013). A Literature Review on Histogram Equalization and Its Variations for Digital Image Enhancement. International Journal of Innovation, Management and Technology, 4(4), 386.
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Dr. Haidi Ibrahim
Universiti Sains Malaysia - Malaysia
haidi_ibrahim@ieee.org