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The Scientific World Journal
Volume 2014 (2014), Article ID 651986, 13 pages
Research Article

A Bayesian Framework for Single Image Dehazing considering Noise

Institute of Aeronautics and Astronautics Engineering, Air Force Engineering University, No. 1 Baling Road, Baqiao District, Xi’an 710038, China

Received 6 June 2014; Accepted 29 July 2014; Published 19 August 2014

Academic Editor: Kun Gao

Copyright © 2014 Dong Nan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The single image dehazing algorithms in existence can only satisfy the demand for dehazing efficiency, not for denoising. In order to solve the problem, a Bayesian framework for single image dehazing considering noise is proposed. Firstly, the Bayesian framework is transformed to meet the dehazing algorithm. Then, the probability density function of the improved atmospheric scattering model is estimated by using the statistical prior and objective assumption of degraded image. Finally, the reflectance image is achieved by an iterative approach with feedback to reach the balance between dehazing and denoising. Experimental results demonstrate that the proposed method can remove haze and noise simultaneously and effectively.