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Underwater image enhancement using blending of CLAHE and percentile methodologies

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Abstract

In this paper, a method has been proposed for enhancement of underwater images commonly suffering from low contrast and degraded shading quality. The entirety of the image is changed when we move to capture of images, from air to the water. During capturing some absorption, reflection and scattering effects are induced in the form of contrast, quality and noise as the images look hazy or blurred. This makes one shading to overwhelm the image. For use of underwater resources and overcome these factors the enhancement of the images is required. So, in this paper, we proposed a strategy for underwater image enhancement using Contrast-Limited Adaptive Histogram Equalization (CLAHE) and Percentile methodologies. Finally, these two methodologies are blended for improving the outcomes. Two parameters, namely, Root Mean Squared Error (RMSE) and entropy have been considered for comparing the experimental results of the proposed methodology with the state-of-the-art works. It has been noticed that the proposed system performs better than already existing techniques for underwater image enhancement.

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Authors and Affiliations

  1. Department of Computer Science & Engineering, GZS Campus College of Engineering & Technology, Maharaja Ranjit Singh Punjab Technical University, Bathinda, Punjab, India

    Diksha Garg & Naresh Kumar Garg

  2. Department of Computer Applications, GZS Campus College of Engineering & Technology, Maharaja Ranjit Singh Punjab Technical University, Bathinda, Punjab, India

    Munish Kumar

Authors
  1. Diksha Garg
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  2. Naresh Kumar Garg
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  3. Munish Kumar
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Correspondence to Munish Kumar.

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Garg, D., Garg, N.K. & Kumar, M. Underwater image enhancement using blending of CLAHE and percentile methodologies. Multimed Tools Appl 77, 26545–26561 (2018). https://doi.org/10.1007/s11042-018-5878-8

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  • DOI: https://doi.org/10.1007/s11042-018-5878-8

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