Single image rain removal based on part-based model

Chia Hung Yeh, Pin Hsian Liu, Cheng En Yu, Chih Yang Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

There are many outdoor vision applications such as surveillance and navigation. One of the challenges is rain removal, especially the rain removal from a single image. In this paper, a single rain image is divided into the high frequency part and the low frequency part by the Gaussian filter. Non-negative matrix factorization (NMF) is used to remove the rain streaks in the low frequency part. Then, Canny edge detection is applied to deal with the rain in the high frequency and the block copy method is employed to preserve the image quality. After that, we applied a rain dictionary to further divide the high frequency into rain and non-rain parts. The experimental results show that the proposed method is better than the state-of-the-art methods, especially in the high frequency part.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages462-463
Number of pages2
ISBN (Electronic)9781479987443
DOIs
StatePublished - 20 Aug 2015
Event2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 - Taipei, Taiwan
Duration: 6 Jun 20158 Jun 2015

Publication series

Name2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015

Conference

Conference2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
Country/TerritoryTaiwan
CityTaipei
Period6/06/158/06/15

Keywords

  • Biomedical imaging
  • Dictionaries
  • Frequency conversion
  • Image edge detection
  • Image quality
  • Image reconstruction
  • Rain

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