Image enhancement method based on contrast and structural similarity

The invention discloses an image enhancement method based on contrast and structural similarity. The method comprises steps: an original single haze image is inputted; robust estimation on atmospheric light is realized through iterative quadtree segmentation; content-based superpixel segmentation technology is adopted for segmenting the image into local area blocks; a cost function is built, an atmospheric propagation chart of each local area block is estimated, and the optimal transmission parameter for each block is obtained; and an atmospheric degradation model is used for image restoration. The de-haze method provided by the invention can effectively improve visibility of a recovery scene image, has the advantages of fast operation speed and good image recovery effects, and can be applied to a system with high real-time performance requirements.