A Variational Framework for Single Image Dehazing Based on Restoration

• Dong Nan,
• Du-Yan Bi,
• Lin-Yuan He,
• Shi-Ping Ma,
• Zun-Lin Fan,

Vol. 10, No. 3, March 30, 2016
10.3837/tiis.2016.03.013, Download Paper (Free):

• Image dehazing
• Image restoration
• variational framework
• multi-resolution pyramid reduction
• human visual system

Abstract

The single image dehazing algorithm in existence can satisfy the demand only for improving either the effectiveness or efficiency. In order to solve the problem, a novel variational framework for single image dehazing based on restoration is proposed. Firstly, the initial atmospheric scattering model is transformed to meet the kimmel’s Retinex variational model. Then, the green light component of image is considered as an input of the variational framework, which is generated by the sensitivity of green wavelength. Finally, the atmospheric transmission map is achieved by multi-resolution pyramid reduction to improve the visual effect of the results. Experimental results demonstrate that the proposed method can remove haze effectively with less memory consumption.

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