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Underwater image clarifying based on human visual colour constancy using double-opponency

CAAI Transactions on Intelligence Technology 2024年第3期9卷 632-648页

作者： Bin Kong Jing Qian pinhao song Jing Yang Amir Hussain Institute of Intelligent Machines Chinese Academy of SciencesHefeiChina Peng Cheng Laboratory ShenzhenChina Anhui Key Laboratory of Biomimetic Sensing and Advanced Robot Technology HefeiChina University of Science and Technology of China HefeiChina Peking University Shenzhen Graduate School ShenzhenChina Edinburgh Napier University EdinburghScotland

Underwater images are often with biased colours and reduced contrast because of the absorption and scattering effects when light propagates in *** images with degradation cannot meet the needs of underwater *** main problem in classic underwater image restoration or enhancement methods is that they consume long calcu-lation time,and often,the colour or contrast of the result images is still *** of using the complicated physical model of underwater imaging degradation,we propose a new method to deal with underwater images by imitating the colour constancy mechanism of human vision using ***,the original image is converted to the LMS *** the signals are linearly combined,and Gaussian convolutions are per-formed to imitate the function of receptive fields(RFs).Next,two RFs with different sizes work together to constitute the double-opponency ***,the underwater light is estimated to correct the colours in the *** contrast stretching on the luminance is *** show that the proposed method can obtain clarified underwater images with higher quality than before,and it spends significantly less time cost compared to other previously published typical methods.

关键词： computers computer vision image processing image reconstruction

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