Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior

Rain is a common natural phenomenon. Taking images in the rain however often results in degraded quality of images, thus compromises the performance of many computer vision systems. Most existing de-rain algorithms use only one single input image and aim to recover a clean image. Few work has exploi...

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Vydáno v:	International journal of computer vision Ročník 130; číslo 7; s. 1754 - 1769
Hlavní autoři:	Zhang, Kaihao, Luo, Wenhan, Yu, Yanjiang, Ren, Wenqi, Zhao, Fang, Li, Changsheng, Ma, Lin, Liu, Wei, Li, Hongdong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.07.2022 Springer Springer Nature B.V
Témata:	Algorithms Artificial Intelligence Computer Imaging Computer Science Computer vision Datasets Feature extraction Image Processing and Computer Vision Image quality Image segmentation Machine vision Pattern Recognition Pattern Recognition and Graphics Rain Semantic segmentation Semantics Vision Vision systems Deep learning Parallel stereo network Stereo image deraining View fusion
ISSN:	0920-5691, 1573-1405
On-line přístup:	Získat plný text
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