Two-phase single-image deraining method via sparse blind detection and image inpainting

Huasong Chen; Jing Wu; Silin Liu; Junhao Wang

doi:10.1117/12.2688640

27 November 2023 Two-phase single-image deraining method via sparse blind detection and image inpainting

Huasong Chen, Jing Wu, Silin Liu, Junhao Wang

Proceedings Volume 12767, Optoelectronic Imaging and Multimedia Technology X; 127671N (2023) https://doi.org/10.1117/12.2688640
Event: SPIE/COS Photonics Asia, 2023, Beijing, China

Conference Poster

Abstract

This paper mainly focuses on the rain streak removal task from a single image. Based on the observation that the distribution of rain streak in an image is sparse. We propose a two- phase single image deraining method. Firstly, it detects the rain locations with a proposed anisotropic global gradient prior (AGGP) and generates a rain mask for rain streak removal. Then it recovers the information in rain distorted region with AGGP based multi-layer image inpainting model. Furthermore, to solve the multi-variable optimization problems, we develop an alternating half-quadratic algorithm by introducing alternating algorithm and the variable split method. Both experiments on synthesized and realworld images show the proposed method outperforms state-of-the-art methods in terms of rain streak removal and image multi-layer information preservation.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Huasong Chen, Jing Wu, Silin Liu, and Junhao Wang "Two-phase single-image deraining method via sparse blind detection and image inpainting", Proc. SPIE 12767, Optoelectronic Imaging and Multimedia Technology X, 127671N (27 November 2023); https://doi.org/10.1117/12.2688640

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