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A Study on Histogram Equalization Techniques for Underwater Image Enhancement

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  • Althaf SK
  • John Basha SK
  • Munwar Ali Shaik

Abstract

The Most important attributes to acquire and extract more information from underwater images are color and contrast. But most of the underwater images are suffered from poor illumination due to ocean depth and color degradation. This paper mainly focus on brief study of different Histogram based equalization techniques for improving the color and contrast of underwater images. In this paper we have studied Histogram equalization (HE), Adaptive Histogram equalization (AHE), Contrast limited adaptive histogram equalization (CLAHE) techniques. Finally by comparing the experimental results the CLAHE technique give better results.

Suggested Citation

  • Althaf SK & John Basha SK & Munwar Ali Shaik, 2017. "A Study on Histogram Equalization Techniques for Underwater Image Enhancement," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(5), pages 210-216, October.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i5:id:hcseit172530
    Note: Article URL: https://ijsrcseit.com/CSEIT172530
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