A New Method of Object Saliency Detection in Foggy Images

Aiming to saliency detection problem of degraded foggy images, a new method of object saliency detection method in foggy images based on region covariance matrix is presented. In the method, color, direction and space information are extracted to form covariance feature description matrix according to characteristics of foggy images. Then local saliency sub-map is acquired by local contrast. In the same time, Wiener filter and Sobel edge detection are used to obtain global saliency sub-map. Finally, local saliency map of color domain is optimized by edge global saliency map, and saliency map is completed. Experiments show that compared with state-of-art methods, the proposed method has better adaptability and accuracy to object saliency detection in foggy images.