Abstract:

Saliency detection can abstract important targets, so it has important application in the field of image and video processing. But almost all the current saliency detection algorithms are based on significant contrast between the target and the background, and they compute saliency with  differences between targets and backgrounds, and space correlation within targets. A new method is provided using the background infonmation. First, an image is decomposed into compact elements that abandon unnecessary details. Then the initial saliency map is computed with background information. Finally the multi0scale information is fused to promote the detection performance. A detailed experimental evaluation shows that the proposed method outperforms all state-of-the-art approaches.