Dual-intensity Image Fusion using Multi Colour Channel Spaces for Underwater Image Enhancement

In order to gather and extract a great deal of information from underwater images, contrast and colour are crucial elements. Normal underwater images, however, have dark background regions and bright foreground parts. Previous techniques for enhancing areas preserve the blue-green background illumination and gloom while improving the foreground portions. In order to improve underwater images overall, this study presents an integrated approach that combines the work done on the RGB and LAB colour spaces. Dual-intensity image fusion is applied on RGB colour space to achieve the proper image contrast. Evaluations, both qualitative and quantitative, demonstrate the efficacy of the suggested approach. When compared to cutting-edge techniques, the suggested approach yields the highest average entropy, PCQI as well as UIQM values.

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Publication Details

Published
2024-10-19
DOI
https://doi.org/10.1109/cvmi61877.2024.10782223
Citations
1
Primary Topic
Advanced Image Fusion Techniques
Type
article
Field-Weighted Citation Impact
0.32
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article

Dual-intensity Image Fusion using Multi Colour Channel Spaces for Underwater Image Enhancement

Dilip Kumar Yadav, Uzra Rahman
1 citations
Advanced Image Fusion Techniques
0.32
article

Dual-intensity Image Fusion using Multi Colour Channel Spaces for Underwater Image Enhancement

Dilip Kumar Yadav, Uzra Rahman
article en
1 citations

Abstract

In order to gather and extract a great deal of information from underwater images, contrast and colour are crucial elements. Normal underwater images, however, have dark background regions and bright foreground parts. Previous techniques for enhancing areas preserve the blue-green background illumination and gloom while improving the foreground portions. In order to improve underwater images overall, this study presents an integrated approach that combines the work done on the RGB and LAB colour spaces. Dual-intensity image fusion is applied on RGB colour space to achieve the proper image contrast. Evaluations, both qualitative and quantitative, demonstrate the efficacy of the suggested approach. When compared to cutting-edge techniques, the suggested approach yields the highest average entropy, PCQI as well as UIQM values.

National Institute of Technology Jamshedpur (IN)
Openalex Percentile: Top 34%
Advanced Image Fusion Techniques
0.32
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