An Underwater Image Restoration Method Based on Adaptive Brightness Improvement and Local Image Descattering

This letter proposes an effective underwater image restoration method that consists of a local image descattering and an adaptive brightness improvement. First, we establish an adaptive objective function for improving the brightness of underwater image according to the best-preserved channel of an...

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Bibliographic Details
Published in:IEEE geoscience and remote sensing letters 2023-01, Vol.20, p.1-1
Main Authors: Liang, Zheng, Ruan, Rui, Jiao, Lin, Zhang, Weidong, Zhuang, Peixian
Format: Article
Language:English
Subjects:
Algorithms
Atmospheric modeling
Attenuation
Brightness
brightness improvement
Degradation
Image color analysis
Image enhancement
Image restoration
Lagrange multiplier
Light attenuation
local image descattering
Objective function
Optimization
Remote sensing
Restoration
Underwater
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Summary:This letter proposes an effective underwater image restoration method that consists of a local image descattering and an adaptive brightness improvement. First, we establish an adaptive objective function for improving the brightness of underwater image according to the best-preserved channel of an image, and an augmented Lagrange multiplier based alternating direction minimization algorithm is derived to solve the optimization problem. Second, we introduce a local transmission estimation method that takes into account the different attenuation of light on the red, green and blue channels, which overcomes the limitation that existing methods heavily depend on the global transmission over the entire image. Extensive experiments on real-world underwater images demonstrate the effectiveness of the proposed method in underwater image restoration. Moreover, our method shows good generalization capability for enhancing remote sensing and nighttime images.
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2023.3296620