Single-image deraining using an adaptive nonlocal means filter

Jin Hwan Kim, Chul Lee, Jae Young Sim, Chang-Su Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

106 Citations (Scopus)

Abstract

An adaptive rain streak removal algorithm for a single image is proposed in this work. We observe that a typical rain streak has an elongated elliptical shape with a vertical orientation. Thus, we first detect rain streak regions by analyzing the rotation angle and the aspect ratio of the elliptical kernel at each pixel location. We then perform the nonlocal means filtering on the detected rain streak regions by selecting nonlocal neighbor pixels and their weights adaptively. Experimental results demonstrate that the proposed algorithm removes rain streaks more efficiently and provides higher restored image qualities than conventional algorithms.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
Pages914-917
Number of pages4
DOIs
Publication statusPublished - 2013
Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
Duration: 2013 Sep 152013 Sep 18

Publication series

Name2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Other

Other2013 20th IEEE International Conference on Image Processing, ICIP 2013
CountryAustralia
CityMelbourne, VIC
Period13/9/1513/9/18

Keywords

  • Image enhancement
  • deraining
  • kernel regression
  • nonlocal means filter
  • rain streak removal

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Kim, J. H., Lee, C., Sim, J. Y., & Kim, C-S. (2013). Single-image deraining using an adaptive nonlocal means filter. In 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings (pp. 914-917). [6738189] (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings). https://doi.org/10.1109/ICIP.2013.6738189