Dynamic scene rain removal for moving cameras

Cheen Hau Tan, Jie Chen, Lap Pui Chau

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)

Abstract

Rain removal is important to ensure the robustness of applications which rely on video input towards rainy conditions. A number of algorithms have thus been proposed to remove the rain effect based on the properties of rain. However, most of these methods are not able to remove rain effectively for scenes taken from moving cameras. We propose a rain removal algorithm which can effectively remove rain from dynamic scenes taken from moving cameras by improving a recent state-of-the-art rain removal method. We do so by first aligning neighboring frames to a target frame before the target frame is de-rained. Experiments show that our proposed method is able to remove rain effectively for moving camera scenes.

Original languageEnglish
Title of host publication2014 19th International Conference on Digital Signal Processing, DSP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages372-376
Number of pages5
ISBN (Electronic)9781479946129
DOIs
Publication statusPublished - Aug 2014
Externally publishedYes
Event2014 19th International Conference on Digital Signal Processing, DSP 2014 - Hong Kong, Hong Kong
Duration: 20 Aug 201423 Aug 2014

Publication series

NameInternational Conference on Digital Signal Processing, DSP
Volume2014-January

Conference

Conference2014 19th International Conference on Digital Signal Processing, DSP 2014
Country/TerritoryHong Kong
CityHong Kong
Period20/08/1423/08/14

Keywords

  • Frame alignment
  • Rain removal

ASJC Scopus subject areas

  • Signal Processing

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