Image Resizing in Saliency Histogram Domain

Abstract

The saliency map of an image provides useful information regarding the region of interest. In this paper, the normalized saliency map, called the saliency histogram, is used as a valid probability density function, based on which an efficient algorithm has been proposed for image resizing in the saliency histogram domain. Moreover, the saliency-histogram-based image resizing algorithm has been extended to video applications. Experimental results show the performance of the saliency histogram in terms of the preservation of salient objects in resized images and videos. The proposed approach is suitable for content-driven surveillance with multiresolution image sensor systems.