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Image inpainting with prioritizing of hole's pixels

机译:优先考虑孔像素的图像修复

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摘要

Image inpainting is one of the most widely used image processing techniques which removes an object from a picture or reconstructs images with lost parts. A method is presented in this article that takes a picture and the location that should be inpainted as the inputs and repair will be done automatically. To inpaint an image, first we obtain the border of holes, then we calculate the priority of border pixels and according to these priorities, the holes will be filled using the values and gradients of neighboring pixels. The proposed Algorithm runs as fast as image inpainting methods such as FMM and NS which restore images within a few seconds. This algorithm has been evaluated on sample images and satisfactory results have been achieved.
机译:图像修复是最广泛使用的图像处理技术之一,它可以从图片中删除对象或重建具有丢失部分的图像。本文介绍了一种方法,该方法可以拍摄照片,并且在输入和修复时应该自动修复的位置会自动完成。要修复图像,首先获取孔的边界,然后计算边界像素的优先级,然后根据这些优先级,使用相邻像素的值和渐变填充孔。所提出的算法的运行速度与FMM和NS等图像修复方法一样快,它们可以在几秒钟内恢复图像。该算法已经在样本图像上进行了评估,并获得了令人满意的结果。

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