Zahra Toony - Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
Somayeh Hesabi - Department of Computer Science, Sharif University of Technology, Tehran, Iran
Mansour Jamzad

In this paper, we propose a novel noise robust content-aware image resizing method by the idea of seam carving scheme which attempts to preserve important objects in an image while changing the aspect ratio of it. We estimate the local energy map of image by active contour. Based on the energy map we carve and insert connected path of pixels, seam, for resizing image to the specific size. Conventional seam carving method is unsuccessful to keep important objects in an image when the energy content of the objects are low with regard to their adjacent, or the number of seams removed are very large. Since active contour attempts to detect objects in an image, we use it to segment the image in two parts, one contains prominent objects and the other one includes remaining part of the image which is less important; so we can simply carve or insert seams in the second part. The experimental results show that the proposed method produces higher subjective quality images than conventional seam carving method and recent saliency detection seam carving scheme.