Content-aware image resizing using perceptual seam carving with human attention model

In this paper, a new image resizing technique, perceptual seam carving, is proposed. With considering both face map and saliency map as human attention model in the energy function, it can keep important information in perceptual when the image is downsized. Moreover, a switching scheme between seam carving and resampling is also proposed to avoid excessively distorting the images. Experiments show that the proposed algorithm can generate more desirable resized images than cropping, resampling, and conventional seam carving techniques.