通過控制接縫的位置分布來進行影像接縫雕刻(cs CV)

• 2020 年 1 月 3 日
• 筆記

影像重新定向是一種新的影像處理任務，可在影像中呈現縱橫比的變化。縫雕刻是最著名的影像重定位演算法之一。儘管拼縫雕刻快速而直接，但通常會使影像失真。在本文中，我們介紹了一種新的接縫雕刻演算法，該演算法不僅具有原始接縫雕刻的簡單性，而且還去除了原始方法中都存在的失真。本文介紹了接縫的位置分布。我們會證明在重新定向的影像品質評估和接縫凝結措施方面，本文所提出的方法會優於原始的接縫雕刻的方法。

原文標題：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