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Research of image inpainting algorithm based on image segmentation

机译:基于图像分割的图像修复算法研究

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摘要

Image inpainting is an effective method to repair damaged image. In this paper, we mainly studied some typical image inpainting models and analyzed these corresponding repair qualities. Firstly, we studied three typical algorithms based on PDE (Partial Differential Equation) model to repair images whose damaged areas are relative small. And then we studied the image inpainting algorithm based on texture synthesis. This kind of inpainting algorithm is suitable for image with large damaged area. Finally, we studied Criminisi inpainting algorithm based on image segmentation in detail, on which we proposed an improved priority formula image repair algorithm, the simulation results indicate that the improved algorithm of this paper showed better performance in repair quality from both subjective and objective aspects.
机译:图像修复是修复受损图像的有效方法。在本文中,我们主要研究了一些典型的图像修复模型,并分析了相应的修复质量。首先,我们研究了基于PDE(偏微分方程)模型的三种典型算法来修复受损面积较小的图像。然后研究了基于纹理合成的图像修复算法。这种修复算法适用于损伤较大的图像。最后,对基于图像分割的Criminisi修复算法进行了详细的研究,提出了一种改进的优先级公式图像修复算法,仿真结果表明,本文提出的改进算法从主观和客观两个方面都表现出较好的修复性能。

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