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Proceedings Paper

Rain detection and removal algorithm using motion-compensated non-local mean filter
Author(s): B. C. Song; S. J. Seo
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Paper Abstract

This paper proposed a novel rain detection and removal algorithm robust against camera motions. It is very difficult to detect and remove rain in video with camera motion. So, most previous works assume that camera is fixed. However, these methods are not useful for application. The proposed algorithm initially detects possible rain streaks by using spatial properties such as luminance and structure of rain streaks. Then, the rain streak candidates are selected based on Gaussian distribution model. Next, a non-rain block matching algorithm is performed between adjacent frames to find similar blocks to each including rain pixels. If the similar blocks to the block are obtained, the rain region of the block is reconstructed by non-local mean (NLM) filtering using the similar neighbors. Experimental results show that the proposed method outperforms previous works in terms of objective and subjective visual quality.

Paper Details

Date Published: 4 March 2015
PDF: 7 pages
Proc. SPIE 9410, Visual Information Processing and Communication VI, 941006 (4 March 2015); doi: 10.1117/12.2080464
Show Author Affiliations
B. C. Song, Inha Univ. (Korea, Republic of)
S. J. Seo, Inha Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 9410:
Visual Information Processing and Communication VI
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

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