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- W2092115436 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." @default.
- W2092115436 created "2016-06-24" @default.
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- W2092115436 date "2015-03-04" @default.
- W2092115436 modified "2023-10-16" @default.
- W2092115436 title "Rain detection and removal algorithm using motion-compensated non-local mean filter" @default.
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- W2092115436 doi "https://doi.org/10.1117/12.2080464" @default.
- W2092115436 hasPublicationYear "2015" @default.
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