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Improving exemplar based inpainting method with a fuzzy approach

机译:用模糊方法改进基于样例的修补方法

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Image inpainting is a repairing method for missed or damaged area in the images. This field of image processing research is very active over recent years and many researchers work on it to create new methods or improve existing methods. Exemplar-based inpainting is one of them and dropping effect is a problem in this method that effect on inpainting results. In this article, a fuzzy method for solving dropping effect is presented. The proposed approach presents better quality on the final results.
机译:图像修复是修复图像中遗漏或损坏的区域的一种方法。近年来,该图像处理研究领域非常活跃,许多研究人员致力于创建新方法或改进现有方法。基于示例的修复是其中之一,而落下效果是该方法中对修复结果产生影响的问题。在本文中,提出了一种解决滴落效果的模糊方法。所提出的方法在最终结果上表现出更好的质量。

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