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作 者:Bo WANG Zitong KANG Pengwei DONG Fan WANG Peng MA Jiajing BAI Pengwei LIANG Chongyi LI
机构地区:[1]School of Physics and Electronic-Electrical Engineering,Ningxia University,Yinchuan 750021,China [2]School of Computer Science and Engineering,Nanyang Technological University,Singapore 639798,Singapore
出 处:《Frontiers of Computer Science》2023年第2期209-223,共15页中国计算机科学前沿(英文版)
基 金:supported by Higher Education Scientific Research Project of Ningxia(NGY2017009).
摘 要:Underwater images often exhibit severe color deviations and degraded visibility,which limits many practical applications in ocean engineering.Although extensive research has been conducted into underwater image enhancement,little of which demonstrates the significant robustness and generalization for diverse real-world underwater scenes.In this paper,we propose an adaptive color correction algorithm based on the maximum likelihood estimation of Gaussian parameters,which effectively removes color casts of a variety of underwater images.A novel algorithm using weighted combination of gradient maps in HSV color space and absolute difference of intensity for accurate background light estimation is proposed,which circumvents the influence of white or bright regions that challenges existing physical model-based methods.To enhance contrast of resultant images,a piece-wise affine transform is applied to the transmission map estimated via background light differential.Finally,with the estimated background light and transmission map,the scene radiance is recovered by addressing an inverse problem of image formation model.Extensive experiments reveal that our results are characterized by natural appearance and genuine color,and our method achieves competitive performance with the state-of-the-art methods in terms of objective evaluation metrics,which further validates the better robustness and higher generalization ability of our enhancement model.
关 键 词:underwater image enhancement adaptive color correction background light estimation
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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