Image dehazing method based on dark channel prior
Nan Don · Journal of Central South University(Science and Technology) · 2013
In order to reduce the bad effect of the phenomenon of atmospheric degradation on optical imaging system, an optimized and improved image dehazing method using dark channel prior was proposed. Firstly, median filter and adaptive block was performed with the atmospheric degradation model to get the refined dark channel image. Secondly,the illumination component of brightness image was estimated through adaptive bidimensional empirical mode decomposition, and then smoothened by low-pass filter to estimate the atmospheric optical image. Finally, the refined transmission map was obtained after softmatting based on image sparsity prior, and then the color of image was adjusted by human visual system. The method was evaluated subjectively and objectively with image quality assessment, and the experimental results show the validity of algorithm.