Saliency Detection Based on Inhibition of Blur Regions

There are problems of content missing and false detection for Context-Aware (CA) Saliency detection model when detecting image with large scale object or complex background.Based on Context-Aware model, with the introduction of visual contrast characteristic of image clarity, a saliency detection method based on inhibition of blur regions was proposed.The dispersion was made as the criterion to judge whether there exist clarity difference in an image, and the image would be inhibited if there exist the difference.The experimental result shows that, the saliency detection method based on inhibition of blur regions can better solve the problem of content missing and false detection in some special images with higher detection precision.