Rain removal from dynamic scene based on motion segmentation

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 technique has been intensively studied over these years, the photometric, chromatic, and probabilistic properties of the rain have been exploited to remove the rainy effect. However, current available algorithms only work well with light rain and static scenes, when dealing with heavier rain fall in dynamic scenes, obvious visual degradation will occur especially in motion intensive areas. The proposed algorithm is based on motion segmentation of dynamic scenes. Photometric and chromatic constraints are used for rain detection, motion occlusion information are involved in the adaptive prediction of the rain pixels' original value, using both spatial and temporal neighbor information. Results show the proposed algorithm has a much better performance for rainy scenes with large motion than existing algorithms.

Original languageEnglish
Title of host publication2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013
Pages2139-2142
Number of pages4
DOIs
Publication statusPublished - May 2013
Externally publishedYes
Event2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013 - Beijing, China
Duration: 19 May 201323 May 2013

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013
Country/TerritoryChina
CityBeijing
Period19/05/1323/05/13

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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