一种基于图像分割的补孔方法

2013 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2013-03-28 DOI:10.1109/ICCE.2013.6486980

Jinkyu Hwang, Kyungjae Lee, Jaesung Kim, Sangyoun Lee

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引用次数: 3

摘要

本文主要研究了深度图像解合后产生的孔洞对立体图像质量的影响。为了解决这一问题，我们提出了一种基于图像分割的补孔方法。该方法不仅具有高质量的结果，而且具有实时应用通用方法的可能性。在论文的最后，我们利用DIBR生成了自然立体图像。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A novel hole filling method using image segmentation-based image in-painting

In this paper, we focus on a problem that hole caused by dis-occlusion in depth image have a bad effect on stereoscopic image quality. To solve the problem, we propose a novel hole filling method using image segmentation-based image in-painting. Our hole filling method shows not only high quality result but also possibility of general-purpose method as real-time application. At the end of the paper, we generate natural stereoscopic image using DIBR.

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2013 IEEE International Conference on Consumer Electronics (ICCE)

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