Underwater Image Restoration Method Combining Improved Red Channel Prior and Power Law Correction-based CLAHE Algorithm

ZHU Jiaqi; ZHOU Lili; YAN Jingjing; WANG Qiaoqiao; JIANG Yuhong; HE Lifeng

Volume 43 Issue 7

Jul. 2021

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Article Navigation > Infrared Technology > 2021 > 43(7): 696-701

ZHU Jiaqi, ZHOU Lili, YAN Jingjing, WANG Qiaoqiao, JIANG Yuhong, HE Lifeng. Underwater Image Restoration Method Combining Improved Red Channel Prior and Power Law Correction-based CLAHE Algorithm[J]. Infrared Technology , 2021, 43(7): 696-701.

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Underwater Image Restoration Method Combining Improved Red Channel Prior and Power Law Correction-based CLAHE Algorithm

1.
School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China
2.
School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an 710021, China

Received Date: 2020-06-09
Rev Recd Date: 2020-10-24
Publish Date: 2021-07-01

Abstract

Abstract

An underwater image restoration method was proposed to address the issues of background light estimation deviation and contrast imbalance that occurs during the restoration of water degradation images. First, the background light area and value are determined according to the superpixel image segmentation method, and then the red channel prior theory is used to obtain the estimated transmittance and the preliminary restored image. Finally, the color of the restored image is enhanced using the normalized power law correction-based contrast limited adaptive histogram equalization (CLAHE) algorithm. Three image quality evaluation standards are used to objectively analyze the experimental results, and it is found that the proposed method can effectively balance the contrast and improve the visualization effect.
- underwater image restoration,
- background light estimation,
- red channel prior,
- CLAHE,
- color correction

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References(14)

References

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