Fast color balance and multi-path fusion for sandstorm image enhancement.

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Date: Apr. 2021
From: Signal, Image and Video Processing(Vol. 15, Issue 3)
Publisher: Springer
Document Type: Report; Brief article
Length: 227 words

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Abstract :

Keywords: Sandstorm image; Color balance; Multi-path fusion; Weight maps Abstract Outdoor images captured during sandstorm weather condition frequently yield color cast and poor visibility, which causes some applications to fail in computer vision, such as video surveillance and object recognition systems. In this paper, a fast color balance method followed by an effective fusion model is proposed to enhance the sandstorm-degraded images. Firstly, color channel compensation and piece-wise affine transform balance the aberrant pixels obtained by camera and remove color cast. Then, multi-path fusion comprising of underexposure and contrast-enhanced inputs is used for visibility enhancement, where saturation and Laplacian contrast are measured as weight maps and constructed for Gaussian pyramids. In order to reduce block effects and artifacts of the reconstructed image, we introduce the multi-scale strategy for each path. Experimental results of both synthetic and real-world sandstorm images demonstrate that the proposed color balance method features high computational efficiency and performs much better than comparative methods in terms of image quality. In addition, our fusion-based method also outperforms existing enhancement algorithms of sandstorm image via qualitative and quantitative evaluations. Author Affiliation: (1) School of Physics and Electronic-Electrical Engineering, Ningxia University, 750021, Yinchuan, People's Republic of China (2) School of Computer Science and Engineering, Nanyang Technological University, 639798, Singapore, Singapore (a) tjuwb@nxu.edu.cn Article History: Registration Date: 09/14/2020 Received Date: 06/05/2020 Accepted Date: 09/14/2020 Online Date: 09/28/2020 Byline:

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Gale Document Number: GALE|A655010613