Abstract
Due to the serious attenuation and scattering effects of light underwater, actual underwater images have problems such as low contrast and color distortion. This paper proposes an underwater image enhancement algorithm. First, we apply the guided filtering to the algorithm improvement to get the improved image. Then, the image is converted from RGB color space to HSI space, and the three components of hue, saturation, and intensity are separated. Then use adaptive feedback adjustment to achieve the stretching of saturation and linear enhancement of intensity. Then the image is converted from the HSI color space back to the RGB color space to obtain an enhanced image. Finally, the improved image and the enhanced image are merged at the pixel level. After experimental analysis and comparison, the time required for guided filtering to process images can be reduced by 65%, the structural similarity can reach more than 90%, and the peak signal-to-noise ratio and information entropy have been greatly improved. From a visual point of view, the color saturation, color richness, local contrast and clarity of the image have all been significantly improved.
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The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the National Natural Science Foundation of China (No. 51005142), the Innovation Program of Shanghai Municipal Education Commission (No.14YZ010), and the Natural Science Foundation of Shanghai (No. 14ZR1414900, No.19ZR1419300) for providing financial support for this work.
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Tang, Z., Jiang, L. & Luo, Z. A new underwater image enhancement algorithm based on adaptive feedback and Retinex algorithm. Multimed Tools Appl 80, 28487–28499 (2021). https://doi.org/10.1007/s11042-021-11095-5
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DOI: https://doi.org/10.1007/s11042-021-11095-5