The invention discloses a
single image haze removal method combined with the human vision characteristic. The method includes the following steps that firstly, a
haze image is input and a dark channel image of the
haze image is acquired; secondly, an
atmosphere illumination value of the haze image is estimated according to a dark
primary color prior method; thirdly, an initial optimal atmospheric transmission value of the haze image is calculated; fourthly, a guide filter is used for refining, so that a refined optimal atmospheric transmission value is acquired; fifthly, the refined optimal atmospheric transmission value obtained through the fourth step and the
atmosphere illumination estimated value are combined with the input haze image, so that a clear image is acquired. According to the method, methods such as saturation region segmentation combined with the human vision characteristic and self-adaption atmospheric transmission value calculation are adopted, haze of each pixel in the haze image is accurately removed, and the detail
recovery effect of the image is improved; haze is effectively removed, meanwhile, the halo phenomenon can be restrained,
image noise is prevented from being generated, and the method is suitable for different complex weather and is high in calculation speed.