首页> 外文会议>IASTED International Symposia on Applied Informatics Feb 19-22, 2001, Innsbruck, Austria >Defocused Image Restoration as an Inverse Problem by Network Inversion
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Defocused Image Restoration as an Inverse Problem by Network Inversion

机译:通过网络反演将散焦图像复原作为反问题

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Recently, the necessity to solve an inverse problem has increased in the various fields. The solution for the inverse problem by the neural network, which is called the network inversion technique, was proposed. On the other hand, the image restoration problem for recovering the degraded image to the original one is so important that a number of methods have been proposed. The image restoration can be defined as a kind of inverse problem of the image degradation process. Therefore, we introduce the network inversion method to solve the image restoration as an inverse problem. In this study, we perform the simulation of the image restoration by the network inversion. To compare the effect quantitatively, we evaluate the restored image by the ratio of the spatial-frequencies.
机译:近来,在各个领域中解决反问题的必要性已经增加。提出了用神经网络解决反问题的方法,称为网络反演技术。另一方面,用于将劣化的图像恢复到原始图像的图像恢复问题是如此重要,以至于提出了许多方法。图像恢复可以定义为图像退化过程的一种逆问题。因此,我们引入了网络反演方法来解决图像复原问题。在这项研究中,我们通过网络反演对图像恢复进行仿真。为了定量比较效果,我们通过空间频率的比率来评估恢复的图像。

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