Abstract: Aiming at the problem that there were non-uniform scattering media  (such as atmospheric turbulence, smoke, haze, etc.) incomplex images， which led to different propagation and scattering characteristics of light in different regions, making it difficult to accurately restore the visibility of the image, we proposed a defogging method of  complex image based on  high and low frequency feature enhancement and transmittance correction. Firstly, we designed low frequency feature enhancement methods 
based on singular value decomposition and Gamma inflection point correction. Secondly, based on Shearlet transformation decomposition and nonlinear transformation, we obtained a high frequency feature enhancement method. Thirdly, we used soft cutout to refine the estimated transmittance and constructed a transmittance correction strategy. Finally, by integrating the above three methods, based on atmospheric light values and refined transmittance, image dehazing was completed. After enhancing high and low frequency features respectively, we superimposed  the two  to obtain an enhanced dehazing image. The visual perception and objective evaluation indicators  of dehazing images have been  verified that the proposed method has good dehazing effect and  can effectively restore the detailed information of complex images,  improving the overall visual quality of the images.

Key words: low frequency feature enhancement, high frequency feature enhancement, estimation of transmittance, refinement of transmittance, defogging of complex image