Double fidelity terms unidirectional variation model for single-image rain removal

Xin Zhang; Jianwei Zhang; Weibin Chen; Mingxiao Hu; Xiaoqin Zhang

doi:10.1117/1.JEI.28.2.023015

20 March 2019 Double fidelity terms unidirectional variation model for single-image rain removal

Xin Zhang, Jianwei Zhang, Weibin Chen, Mingxiao Hu, Xiaoqin Zhang

Author Affiliations +

Journal of Electronic Imaging, Vol. 28, Issue 2, 023015 (March 2019). https://doi.org/10.1117/1.JEI.28.2.023015

Abstract

Videos and images captured in poor weather conditions not only have seriously degraded visual quality, but they can also restrict the performance of many computer vision algorithms. One such severe weather condition is rain, which causes complex local intensity fluctuations and fuzzy background images. We study the single-image rain removal to improve the visual quality of images captured in rain. We propose a rain streak removal method with a double fidelity terms unidirectional variational model based on wavelet transform, which is utilized to separate the rain streaks. The rain streaks component is only included in the approximate component and the corresponding high-frequency components. The double fidelity terms unidirectional variational model is then used for removing the rain streaks. The regularization term mainly introduces image-prior information by unidirectional variation. The numerical algorithm is realized by the augmented Lagrange algorithm. Experimental results on a variety of simulated and real rain images show that the proposed method can efficiently remove rain streaks. Experimental results demonstrate the good performance of the proposed model, removing rain streaks while reducing information loss from the background. The proposed method also requires much less computation.

Citation Download Citation

Xin Zhang, Jianwei Zhang, Weibin Chen, Mingxiao Hu, and Xiaoqin Zhang "Double fidelity terms unidirectional variation model for single-image rain removal," Journal of Electronic Imaging 28(2), 023015 (20 March 2019). https://doi.org/10.1117/1.JEI.28.2.023015

Received: 14 November 2018; Accepted: 26 February 2019; Published: 20 March 2019

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available