A Bayesian Framework for Single Image Dehazing considering Noise

作者：Nan, Dong^*; Bi, Du-yan; Liu, Chang; Ma, Shi-ping; He, Lin-yuan

来源：The Scientific World Journal, 2014, 2014: 651986.

DOI：10.1155/2014/651986

• HAZE REMOVAL

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.

• 出版日期2014
• 单位中国人民解放军空军工程大学