Articles with "video enhancement" as a keyword



Real-time low-light video enhancement on smartphones

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Published in 2024 at "Journal of Real-Time Image Processing"

DOI: 10.1007/s11554-024-01532-7

Abstract: Real-time low-light video enhancement on smartphones remains an open challenge due to hardware constraints such as limited sensor size and processing power. While night mode cameras have been introduced in smartphones to acquire high-quality images… read more here.

Keywords: real time; time; low light; time low ... See more keywords

SNR-Prior Guided Trajectory-Aware Transformer for Low-Light Video Enhancement

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Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2023.3299232

Abstract: Recently, deep learning has been widely employed to improve the quality of low-light videos. However, most existing low-light video enhancement methods fail to effectively explore temporal dependence, and the enhanced videos may suffer from severe… read more here.

Keywords: video; trajectory aware; low light; video enhancement ... See more keywords

Rethinking the Low-Light Video Enhancement: Benchmark Datasets and Methods

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Published in 2025 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2025.3616639

Abstract: Low-light video enhancement is a critical task in computer vision with a wide range of applications. However, there is a lack of high-quality benchmark datasets in this field. To address this issue, we collect a… read more here.

Keywords: dataset; low light; light video; video enhancement ... See more keywords

Row–Column Separated Attention Based Low‐Light Image/Video Enhancement

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Published in 2024 at "Computer Graphics Forum"

DOI: 10.1111/cgf.15192

Abstract: U‐Net structure is widely used for low‐light image/video enhancement. The enhanced images result in areas with large local noise and loss of more details without proper guidance for global information. Attention mechanisms can better focus… read more here.

Keywords: video; image; low light; attention ... See more keywords