An Effective Image Contrast Enhancement Method Using Global Histogram Equalization

Authors

  • M. A. Yousuf
  • M. R. H. Rakib

DOI:

https://doi.org/10.3329/jsr.v3i1.5299

Keywords:

Genotypic correlation, Phenotypic correlation, Path coefficient, Aqua aroid, Panikachu

Abstract

Image enhancement is one of the most important issues in low-level image processing. Histograms are the basis for numerous spatial domain processing techniques. In this paper, we present a simple and effective method for image contrast enhancement based on global histogram equalization. In this method, at first input image is normalized by making the minimum gray level value to 0.  Then the probability of each grey level is calculated from the available ROI grey levels. Finally, histogram equalization is performed on the input image based on the calculated probability density (or distribution) function. As a result, the mean brightness of the input image does not change significantly by the histogram equalization. Additionally, noise is prevented from being greatly amplified. Experimental results on medical images demonstrate that the proposed method can enhance the images effectively. The result is also compared with the result of image enhancement technique using local statistics.

Keywords: Histogram equalization; Global histogram equalization; Image enhancement; Local statistics.

© 2011 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved.

doi:10.3329/jsr.v3i1.5299                J. Sci. Res. 3 (1), 43-50 (2011)

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Author Biographies

M. A. Yousuf

Assistant Professor, Department of Computer Science and Engineering, Mawlana Bhashani Science & Technology University, Tangail, Bangladesh

M. R. H. Rakib

Lecturer, Department of Computer Science and Engineering, Mawlana Bhashani Science & Technology University, Tangail, Bangladesh

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Published

2010-12-19

How to Cite

Yousuf, M. A., & Rakib, M. R. H. (2010). An Effective Image Contrast Enhancement Method Using Global Histogram Equalization. Journal of Scientific Research, 3(1), 43. https://doi.org/10.3329/jsr.v3i1.5299

Issue

Vol. 3 No. 1 (2011)

Section

Section A: Physical and Mathematical Sciences

License

© Journal of Scientific Research

Creative Commons License

Articles published in the "Journal of Scientific Research" are Open Access articles under a Creative Commons Attribution-ShareAlike 4.0 International license (CC BY-SA 4.0). This license permits use, distribution and reproduction in any medium, provided the original work is properly cited and initial publication in this journal. In addition to that, users must provide a link to the license, indicate if changes are made and distribute using the same license as original if the original content has been remixed, transformed or built upon.