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Image Inpainting Considering Brightness Change and Spatial Locality of Textures and Its Evaluation

机译：考虑亮度变化和空间局部性的图像修复及其评价

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摘要

Image inpainting techniques have been widely investigated to remove undesired objects in an image. Conventionally, missing parts in an image are completed by optimizing the objective function using pattern similarity. However, unnatural textures are easily generated due to two factors: (1) available samples in the image are quite limited, and (2) pattern similarity is one of the required conditions but is not sufficient for reproducing natural textures. In this paper, we propose a new energy function based on the pattern similarity considering brightness changes of sample textures (for (1)) and introducing spatial locality as an additional constraint (for (2)). The effectiveness of the proposed method is successfully demonstrated by qualitative and quantitative evaluation. Furthermore, the evaluation methods used in much inpainting research are discussed.

机译：图像修补技术已被广泛研究以去除图像中不需要的对象。常规地，通过使用图案相似度优化目标函数来完成图像中的缺失部分。但是，由于两个因素，很容易生成不自然的纹理：（1）图像中的可用样本非常有限；（2）图案相似度是必要条件之一，但不足以再现自然纹理。在本文中，我们提出了一种基于模式相似性的新能量函数，其中考虑了样本纹理的亮度变化（针对（1）），并引入了空间局部性作为附加约束（针对（2））。通过定性和定量评估成功地证明了该方法的有效性。此外，讨论了许多修复研究中使用的评估方法。

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来源
《Advances in Image and Video Technology》|2009年|271-282|共12页
会议地点 Tokyo(JP);Tokyo(JP)
作者
Norihiko Kawai; Tomokazu Sato; Naokazu Yokoya;
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作者单位

Graduate School of Information Science, Nara Institute of Science and Technology 8916-5 Takayama, Ikoma, Nara 630-0192, Japan;

Graduate School of Information Science, Nara Institute of Science and Technology 8916-5 Takayama, Ikoma, Nara 630-0192, Japan;

Graduate School of Information Science, Nara Institute of Science and Technology 8916-5 Takayama, Ikoma, Nara 630-0192, Japan;

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会议组织
原文格式 PDF
正文语种 eng
中图分类计算机网络;
关键词
image inpainting; energy minimization; evaluation method;

机译：图像修补；能量最小化；评估方法;

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Image Inpainting Considering Brightness Change and Spatial Locality of Textures and Its Evaluation

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