Rain detection and removal algorithm using motion-compensated non-local mean filter

B. C. Song; S. J. Seo

doi:10.1117/12.2080464

4 March 2015 Rain detection and removal algorithm using motion-compensated non-local mean filter

B. C. Song, S. J. Seo

Proceedings Volume 9410, Visual Information Processing and Communication VI; 941006 (2015) https://doi.org/10.1117/12.2080464
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

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.

Citation Download Citation

B. C. Song and S. J. Seo "Rain detection and removal algorithm using motion-compensated non-local mean filter", Proc. SPIE 9410, Visual Information Processing and Communication VI, 941006 (4 March 2015); https://doi.org/10.1117/12.2080464

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KEYWORDS

Cameras

Detection and tracking algorithms

Video

Optical filters

Remote sensing

Motion models

Bromine

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