Paper
31 July 2023 Research and implementation of image enhancement method based on improved Retinex algorithm
Diya Zhang, Yumeng Wang, Yanrui Wang, Yile Pu, Zhenbo Bi, Wei Rao
Author Affiliations +
Proceedings Volume 12747, Third International Conference on Optics and Image Processing (ICOIP 2023); 127471M (2023) https://doi.org/10.1117/12.2689140
Event: Third International Conference on Optics and Image Processing (ICOIP 2023), 2023, Hangzhou, China
Abstract
In view of the phenomenon of detail loss and edge blurring in color images collected underwater, noise reduction is mostly ignored in underwater image enhancement research. In this paper, an improved image enhancement method based on Retinex algorithm is proposed. First, the original underwater image is transferred from RGB channels to HSI color space, and the saturation component is adaptively linearly stretched by gamma correction, The improved Retinex decomposition network based on homomorphic filtering is used to decompose and enhance the Lightness component separately. Eventually, the fused image is transferred from HSI to RGB color space, and the processed image is output. According to the experimental results, this algorithm can not only eliminate the halo artifacts, but also improve the brightness and contrast of the image, restore the original details of the image, and effectively remove the image noise. It greatly improves the visual effect and objective evaluation results of images.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Diya Zhang, Yumeng Wang, Yanrui Wang, Yile Pu, Zhenbo Bi, and Wei Rao "Research and implementation of image enhancement method based on improved Retinex algorithm", Proc. SPIE 12747, Third International Conference on Optics and Image Processing (ICOIP 2023), 127471M (31 July 2023); https://doi.org/10.1117/12.2689140
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KEYWORDS
Image enhancement

Image processing

Tunable filters

Image restoration

Gaussian filters

Reflection

RGB color model

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