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The Research on New Efficient Image Editing Method Based on Texture Regularity and Texture Synthesis

机译:基于纹理规律性和纹理合成的新高效图像编辑方法研究

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This paper proposes a new method of texture regularity analysis and texture synthesis techniques for efficient image fill. The method can automatically extract the image foreground region and a reasonable recovery of the original content of the occluded region. For foreground extraction, the general practice in order to get accurate results often requires the introduction of interoperability. In order to automate the extraction, this paper focuses consider the prospects for the approximation the rules texture (NRT) of the scene region. Approximate rules texture has a strong signal to the rules, the use of analysis of this rule can be effective and accurate segmentation of the foreground. Recovery issues for background and texture synthesis, we proposed a new background to fill the algorithm, and by the introduction of synthetic priority concept of image restoration algorithm to come. Therefore, this method has the advantages of the two methods.
机译:本文提出了一种新的纹理规律性分析方法和纹理综合技术,用于高效图像填充。该方法可以自动提取图像前景区域,并合理地恢复封闭区域的原始内容。对于前景提取,一般做法是为了获得准确的结果往往需要引入互操作性。为了自动提取,本文重点介绍了场景区域的近似的近似的前景。近似规则纹理对规则具有强烈的信号,使用本规则的分析可以是有效和准确的前景分割。背景和纹理综合的恢复问题,我们提出了填补算法的新背景,并通过引入图像恢复算法的合成优先级概念。因此,该方法具有两种方法的优点。

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