融合全变分与Gamma的低照度图像增强算法

Zheng Shuangshuang, 郑爽爽; Wei Wenxue, 卫文学; Xu Cong, 徐聪

doi:10.3788/lop221707

激光与光电子学进展

2023

DOI: 10.3788/lop221707

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融合全变分与Gamma的低照度图像增强算法

郑爽爽 Zheng Shuangshuang,

卫文学 Wei Wenxue,

徐聪 Xu Cong

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2024

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基于多尺度深度曲线估计的微光图像增强算法

Guo Hongda,

Dong Xiucheng,

Zheng Yongkang

et al. 2024

激光与光电子学进展

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In this study, a lowlight image enhancement algorithm based on multiscale depth curve estimation is proposed to address the poor generalization ability of existing algorithms. Lowlight image enhancement is achieved by learning the mapping relationship between normal images and lowlight images with different scales. The parameter estimation network comprises three encoders with different scales and a fusion module, facilitating the efficient and direct learning for lowlight images. Furthermore, each encoder comprises cascaded convolutional and pooling layers, thereby facilitating the reuse of feature layers and improving computational efficiency. To enhance the constraint on image brightness, a bright channel loss function is proposed. The proposed method is validated against six stateoftheart algorithms on the LIME, LOL, and DICM datasets. Experimental results show that enhanced images with vibrant colors, moderate brightness, and significant details can be obtained using the proposed method, outperforming other conventional algorithms in subjective visual effects and objective quantitative evaluations.

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基于多尺度深度曲线估计的微光图像增强算法

Guo Hongda,

Dong Xiucheng,

Zheng Yongkang

et al. 2024

激光与光电子学进展

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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融合全变分与Gamma的低照度图像增强算法

Cited by 1 publication

References 12 publications

基于多尺度深度曲线估计的微光图像增强算法

基于多尺度深度曲线估计的微光图像增强算法

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