Paper
19 November 2019 Multi-region processing method for single image deraining
Author Affiliations +
Abstract
Outdoor imaging often suffers from the negative effects of the rain streaks, which would lead to the distortion of image contents. Most of the existing deraining approaches propose to build prior models to formulate the appearance of rain streaks and image features. However, these works deal with the rain streaks removal on the whole image regions. This may lead to the image regions without rain streaks distorted. In this paper, we proposed a new method for simultaneously investigating the candidates of rain streaks and image restoration. We use the L0 sparsity regularization for rain region estimation , and apply the framelet with L0 norm to protect the sharpen images. Our method only processes the regions with rain streaks and leaves other regions free. Experimental results demonstrate the effectiveness of our approach on rain streak removal and image restoration.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huasong Chen, Yasong Zhang, Qin Ding, Hao Qiang, and Yuanyuan Fan "Multi-region processing method for single image deraining", Proc. SPIE 11186, Advanced Optical Imaging Technologies II, 1118618 (19 November 2019); https://doi.org/10.1117/12.2537563
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KEYWORDS
Image restoration

Image processing

Associative arrays

Distortion

Mathematical modeling

Mathematics

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