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A novel approach to exemplar based image inpainting

机译:一种基于样本的图像修复的新方法

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Inpainting is the method by means of which we can fill the bemused areas of an image. To recreate the bemused areas in a visually probable way is the main end of image inpainting methods. There have been so many algorithms are presented for the same. Two types of methods are available in the market. We had made some advances in Exemplar based inpainting technique to overcome the pitfalls such as computational complexes, noise and image construction. The subsisting method introduces obscure while in case of filling bigger holes and the advantage of proposed one can fill it without causing obscure. Experimental results depict the strength of the proposed technique.
机译:修复是一种方法,通过它我们可以填充图像的令人迷惑的区域。以视觉上可能的方式重新创建迷惑区域是图像修复方法的主要目的。提出了许多相同的算法。市场上有两种类型的方法。我们已经在基于样例的修补技术方面取得了一些进展,以克服诸如计算复杂性,噪声和图像构造之类的缺陷。在填充较大的孔的情况下,存在的方法引入了模糊,而所提出的优点是可以填充而不会造成模糊。实验结果说明了所提出技术的优势。

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