Jun 7, 2019 · In this paper, we have introduced a new single-image de-raining method based on low-rank matrix approximation. Without designing handcrafted ...
Abstract: Most existing image de-raining methods are based on the assumption that rain has certain shape or chromatic priors, which may be inaccurate for ...
In this paper, the proposed image de-raining method is built on the priors of clear images that many self-similar patches exist in natural images. And similar ...
Single-image de-raining using low-rank matrix approximation. Y. Luo, and J. Ling. Neural Comput. Appl., 32 (11): 7503-7514 (2020 ).
Sep 10, 2021 · Video de-raining and de-snowing Using Temporal Correlation and Low-Rank Matrix ... uses low rank filtering for the rain removal from single images.
A Survey on Rain Removal from Video and Single Image - GitHub
github.com › hongwang01 › Video-and-...
Video deraining and desnowing using temporal correlation and low-rank matrix ... Density-aware single image de-raining using a multi-stream dense ...
Missing: approximation. | Show results with:approximation.
Results of methods with different patch matching data. Single-image de-raining using low-rank matrix approximation. Article. Full-text available. Jun 2020.
We propose a single image de-raining method in gradient domain based on the observation that the influence of rain streaks on X- and Y- gradients shows ...
Missing: approximation. | Show results with:approximation.
Aug 5, 2024 · We propose a Low-rank Appearance Recurrent Network called LRARNet based on the low-rank property of rain streak patterns in rainy images.
Missing: approximation. | Show results with:approximation.
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In this paper, we investigate the impact of rain streak detection for single image deraining and propose a novel deep network with dual stimulations, namely, ...