Image Seam-Carving by Controlling Positional Distribution of Seams

TL;DR

This paper presents a novel seam-carving algorithm for image retargeting that reduces distortion by controlling the positional distribution of seams, improving image quality over traditional methods.

Contribution

The proposed method introduces seam positional distribution control to enhance retargeting quality while maintaining simplicity.

Findings

Outperforms original seam-carving in image quality assessment

Reduces unwanted image distortion

Improves seam coagulation measures

Abstract

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.