SCAN: A multi-operator image retargeting scheme

This research presents a multi-operator retargeting mechanism termed "SCAN", in which seam carving, cropping, adding seams and normalization (scaling) are applied on images in an automatic manner. The content-based cropping will first be used to remove insignificant portions on sides. Then a new seam carving algorithm based on both the global saliency and local saliency is proposed to rid of the pixels in the middle of the image. Efficiency is the major advantage of this seam carving algorithm. When the background is not complex, some seams may be inserted in a similar way as the proposed seam carving procedures to make the aspect ratio closer to the target one. Finally, the image is scaled or normalized directly. Experimental results will demonstrate the feasibility and advantages of the proposed method.