CLEANSING AND REFINEMENT OF SUB-AQUATIC AND SOFT LIGHT IMAGES USING RETINEX COLOR RECOVERY

  • Unique Paper ID: 155137
  • Volume: 8
  • Issue: 12
  • PageNo: 1611-1614
  • Abstract:
  • The images from the ocean are unclear in unsettling and can cause issues while studying it. The basic underwater image causes such a problem because the light reflects back from the surface of the ocean or gets absorbed. In this paper, we make an attempt to clear hazy underwater images using the Multi-Scale Retinex with Color Restoration (MSRCR) algorithm, compare the output with different variances, and see how to get better results. We also discuss the best fit variance, and to achieve it, we have used the peak signal-to-noise ratio (PSNR).

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{155137,
        author = {HIMANSHU TRIPATHI and Pawan Pandey},
        title = {CLEANSING AND REFINEMENT OF SUB-AQUATIC AND SOFT  LIGHT IMAGES USING RETINEX COLOR RECOVERY},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {12},
        pages = {1611-1614},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155137},
        abstract = {The images from the ocean are unclear in unsettling and can cause issues while studying it. The basic underwater image causes such a problem because the light reflects back from the surface of the ocean or gets absorbed. In this paper, we make an attempt to clear hazy underwater images using the Multi-Scale Retinex with Color Restoration (MSRCR) algorithm, compare the output with different variances, and see how to get better results. We also discuss the best fit variance, and to achieve it, we have used the peak signal-to-noise ratio (PSNR).},
        keywords = {Retinex, Multi-Scale Retinex with Color Restoration (MSRCR), Variance, Underwater, best fit variance, peak signal-to-noise ratio (PSNR) .},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 8
  • Issue: 12
  • PageNo: 1611-1614

CLEANSING AND REFINEMENT OF SUB-AQUATIC AND SOFT LIGHT IMAGES USING RETINEX COLOR RECOVERY

Related Articles