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Underwater image enhancement based on optimally weighted histogram framework and improved Fick's law algorithm.

Yawen Liu1,2, Ziteng Qiao1, Zhiwei Ye1

  • 1School of Computer Science, Hubei University of Technology, Wuhan, 430068, China.

Scientific Reports
|December 5, 2024
PubMed
Summary

This study introduces an improved Fick's law algorithm-based optimally weighted histogram framework (IFLAHF) for enhancing underwater images. The novel method optimizes parameters, corrects color deviations, and significantly improves image quality compared to existing algorithms.

Keywords:
Fick’s law algorithmHistogram equalizationImage enhancementPlateau limitUnderwater image

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Area of Science:

  • Computer Vision
  • Image Processing
  • Oceanography

Background:

  • Underwater image quality is degraded by light scattering and attenuation, causing loss of contrast and brightness.
  • Existing methods like bi-histogram equalization-based three plateau limits (BHE3PL) have limitations due to fixed parameters, hindering adaptability.

Purpose of the Study:

  • To propose an improved underwater image enhancement method addressing limitations of existing techniques.
  • To enhance contrast, details, and brightness while correcting color deviations in underwater images.

Main Methods:

  • Developed an improved Fick's law algorithm-based optimally weighted histogram framework (IFLAHF).
  • Optimized fixed parameters using Tent chaotic mapping, reverse learning, and Levy flight within the Fick's law algorithm (FLA).
  • Integrated a color correction technique for natural image appearance.

Main Results:

  • The proposed IFLAHF method demonstrated superior performance in enhancing underwater images.
  • Simulations confirmed that the method outperforms existing algorithms across multiple underwater image enhancement metrics.
  • The enhanced images exhibited improved contrast, detail, and color fidelity.

Conclusions:

  • The improved Fick's law algorithm-based optimally weighted histogram framework (IFLAHF) offers a robust solution for underwater image enhancement.
  • The method's parameter optimization and color correction capabilities lead to significant improvements in image quality.
  • This work provides a valuable contribution to the field of underwater image processing.