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A Method For Eliminating Contour Errors In Self-Encoder Reconstructed Images

2023-01-25 13:40:29
Yonggang Li, Hao Zhang
arXiv_AI
       
Abstract

In this paper, we propose a self-supervised twin network approach based on this a priori. The method of generating the approximate10 edge information of an image and then differentially eliminating the edge errors11 in the reconstructed image with a dilate algorithm. This is used to improve the12 accuracy of the reconstructed image and to separate foreign matter and noise from13 the original image, so that it can be visualized in a more practical scene

Abstract (translated)

在本文中,我们基于经验上的原则提出了一种自监督的孪生网络方法。该方法通过生成图像的边缘信息,然后使用扩张算法 Differentially eliminate 孪生网络中的边缘错误来提高重构图像的精度,并将原始图像中的 foreign matter 和 noise 分离出来,以便在更实际的场景下可视化。

URL

https://arxiv.org/abs/2301.10584

PDF

https://arxiv.org/pdf/2301.10584.pdf

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