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An Image Restoration Method Based on Electromagnetism-like Mechanism Algorithm

机译:基于电磁机制算法的图像恢复方法

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摘要

A new image restoration algorithm is proposed by combining the Electromagnetism-like Mechanism algorithm with image restoration, because reasons of degradation are very complex and methods used commonly are limited by prior knowledge. First, the degraded image is restored with Lucy-Richardson method, and random noise is added to different areas of the restored image to generate the initial population (i.e. the speculated image). Second, the speculated image is used to generate another degraded image by the same degradation. Then, the rational function of these two degraded images is taken to be the objective function to get the optimal restored image by seeking for the maximum value of the objective function. Experimental results show that the image restoration algorithm proposed is good at image restoration and not limited by prior knowledge.
机译:结合类电磁机制算法和图像复原提出了一种新的图像复原算法,因为退化的原因非常复杂,并且常用的方法受到先验知识的限制。首先,使用Lucy-Richardson方法还原退化的图像,并将随机噪声添加到还原图像的不同区域以生成初始种群(即,推测图像)。第二,推测的图像用于通过相同的降级生成另一个降级的图像。然后,将这两个降级图像的有理函数作为目标函数,以通过寻求目标函数的最大值来获得最佳恢复图像。实验结果表明,所提出的图像恢复算法具有很好的图像恢复能力,不受先验知识的限制。

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