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10.1109/ICCV.2013.247guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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A Generalized Low-Rank Appearance Model for Spatio-temporally Correlated Rain Streaks

Published: 01 December 2013 Publication History

Abstract

In this paper, we propose a novel low-rank appearance model for removing rain streaks. Different from previous work, our method needs neither rain pixel detection nor time-consuming dictionary learning stage. Instead, as rain streaks usually reveal similar and repeated patterns on imaging scene, we propose and generalize a low-rank model from matrix to tensor structure in order to capture the spatio-temporally correlated rain streaks. With the appearance model, we thus remove rain streaks from image/video (and also other high-order image structure) in a unified way. Our experimental results demonstrate competitive (or even better) visual quality and efficient run-time in comparison with state of the art.

Cited By

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  • (2024)RainyScape: Unsupervised Rainy Scene Reconstruction using Decoupled Neural RenderingProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681290(10920-10929)Online publication date: 28-Oct-2024
  • (2023)Adaptive weighted rain streaks model-driven deep network for single image derainingExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.119807222:COnline publication date: 15-Jul-2023
  • (2023)Multi-scale fusion and adaptively attentive generative adversarial network for image de-rainingApplied Intelligence10.1007/s10489-023-05114-153:24(30954-30970)Online publication date: 1-Dec-2023
  • Show More Cited By

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cover image Guide Proceedings
ICCV '13: Proceedings of the 2013 IEEE International Conference on Computer Vision
December 2013
3650 pages
ISBN:9781479928408

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IEEE Computer Society

United States

Publication History

Published: 01 December 2013

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Cited By

View all
  • (2024)RainyScape: Unsupervised Rainy Scene Reconstruction using Decoupled Neural RenderingProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681290(10920-10929)Online publication date: 28-Oct-2024
  • (2023)Adaptive weighted rain streaks model-driven deep network for single image derainingExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.119807222:COnline publication date: 15-Jul-2023
  • (2023)Multi-scale fusion and adaptively attentive generative adversarial network for image de-rainingApplied Intelligence10.1007/s10489-023-05114-153:24(30954-30970)Online publication date: 1-Dec-2023
  • (2022)SGINet: Toward Sufficient Interaction Between Single Image Deraining and Semantic SegmentationProceedings of the 30th ACM International Conference on Multimedia10.1145/3503161.3548241(6202-6210)Online publication date: 10-Oct-2022
  • (2022)Multi-receptive Field Aggregation Network for single image derainingJournal of Visual Communication and Image Representation10.1016/j.jvcir.2022.10346984:COnline publication date: 1-Apr-2022
  • (2021)Unsupervised Image Deraining: Optimization Model Driven Deep CNNProceedings of the 29th ACM International Conference on Multimedia10.1145/3474085.3475441(2634-2642)Online publication date: 17-Oct-2021
  • (2019)A Lightweight Channel-spatial Attention Network for Real-time Image De-rainingProceedings of the 2019 2nd International Conference on Digital Medicine and Image Processing10.1145/3379299.3379305(43-48)Online publication date: 13-Nov-2019
  • (2019)Single Image Deraining via Recurrent Hierarchy Enhancement NetworkProceedings of the 27th ACM International Conference on Multimedia10.1145/3343031.3351149(1814-1822)Online publication date: 15-Oct-2019
  • (2019)DTDNProceedings of the 27th ACM International Conference on Multimedia10.1145/3343031.3350945(1833-1841)Online publication date: 15-Oct-2019
  • (2019)Gradual Network for Single Image De-rainingProceedings of the 27th ACM International Conference on Multimedia10.1145/3343031.3350883(1795-1804)Online publication date: 15-Oct-2019
  • Show More Cited By

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