Abstract: Aim to based on the dark channel prior image defogging algorithm lack of prior
information and such as the large white object region failure problems, put forward a single image
defogging algorithm based on high-order Markov random fields (MRF). According to the imaging
characteristics of the fog haze image into the bright region and dark region. Then according to the
different areas of improvement and the attenuation of the dark channel, and through the dark channel
prior to obtain the transmission map. Finally use high-order MRF to optimize transmission diagram,
solve the problem of insufficient information of their experience. The experimental results show that
the proposed algorithm can effectively improve the partial distortion caused by the prior failure of the
dark channel, and the restored image has higher resolution and more detail.

Key words: image defogging, dark channel prior, IMSRM algorithm, high-order Markov random
fields