Saliency dectection using spatial features and spectral residual

A saliency detection algorithm using spatial features and spectral residual is proposed in this paper. Feature maps including intensity, chromatic opponencies and motion are extracted from image and video, and pre-segmented. According to the segmentation results, saliency detection algorithm using spatial features and spectral residual is used to detect salient regions. Finally, the first-order entropy of the feature saliency map is used as weights to get the final saliency map. The proposed method takes global and local image contrast into account and achieves good results.