Image Seam-Carving by Controlling Positional Distribution of Seams
This addresses distortion issues in image retargeting for users needing aspect ratio changes, but it is incremental as it builds on the existing seam-carving approach.
The paper tackles the problem of distortion in seam-carving for image retargeting by introducing a new algorithm that controls the positional distribution of seams, resulting in improved retargeted image quality and seam coagulation measures compared to the original method.
Image retargeting is a new image processing task that renders the change of aspect ratio in images. One of the most famous image-retargeting algorithms is seam-carving. Although seam-carving is fast and straightforward, it usually distorts the images. In this paper, we introduce a new seam-carving algorithm that not only has the simplicity of the original seam-carving but also lacks the usual unwanted distortion existed in the original method. The positional distribution of seams is introduced. We show that the proposed method outperforms the original seam-carving in terms of retargeted image quality assessment and seam coagulation measures.