通过控制接缝的位置分布来进行图像接缝雕刻(cs CV)

• 2020 年 1 月 3 日
• 笔记

图像重新定向是一种新的图像处理任务，可在图像中呈现纵横比的变化。缝雕刻是最著名的图像重定位算法之一。尽管拼缝雕刻快速而直接，但通常会使图像失真。在本文中，我们介绍了一种新的接缝雕刻算法，该算法不仅具有原始接缝雕刻的简单性，而且还去除了原始方法中都存在的失真。本文介绍了接缝的位置分布。我们会证明在重新定向的图像质量评估和接缝凝结措施方面，本文所提出的方法会优于原始的接缝雕刻的方法。

原文标题：Image Seam-Carving by Controlling Positional Distribution of Seams

原文：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.

原文作者：Mahdi Ahmadi,Nader Karimi,Shadrokh Samavi

原文地址：https://arxiv.org/abs/1912.13214