Rain and snow removal using multi-guided filter and anisotropic gradient in the quaternion framework

V. Voronin; E. Semenishchev; M. Zhdanova; R. Sizyakin; A. Zelenskii

doi:10.1117/12.2534744

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24 September 2019 Rain and snow removal using multi-guided filter and anisotropic gradient in the quaternion framework

V. Voronin, E. Semenishchev, M. Zhdanova, R. Sizyakin, A. Zelenskii

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Proceedings Volume 11169, Artificial Intelligence and Machine Learning in Defense Applications; 111690S (2019) https://doi.org/10.1117/12.2534744
Event: SPIE Security + Defence, 2019, Strasbourg, France

Abstract

In many cases the rain and snow on an image significantly degrade the effectiveness of any computer vision algorithm, such as object recognition, tracking, retrieving and so on. The automated detection and removing such degradations in a color image is still a challenging task. This paper presents a new rain and snow removal method using low- and highfrequency parts of a single image. For this purpose, we use a color image multi-guided filter and anisotropic gradient in Hamiltonian quaternions. The quaternion framework is used to represent a color image to take into account all three channels simultaneously when inpainting the RGB image. Our results show that it has good performance in rain removal and snow removal.

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V. Voronin, E. Semenishchev, M. Zhdanova, R. Sizyakin, and A. Zelenskii "Rain and snow removal using multi-guided filter and anisotropic gradient in the quaternion framework", Proc. SPIE 11169, Artificial Intelligence and Machine Learning in Defense Applications, 111690S (24 September 2019); https://doi.org/10.1117/12.2534744

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