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Research on image restoration algorithms based on BP neural network

机译:基于BP神经网络的图像复原算法研究。

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摘要

With the development of information transmission technology and computer technology, information acquisition mode is mainly converted from character to image nowadays. However, in the process of acquiring and transmitting images, image damage and quality decrease due to various factors. Therefore, how to restore image has become a research hotspot in the field of image processing. This paper establishes an image restoration model based on BP neural network. The simulation results show that the proposed method has made a great improvement compared with the traditional image restoration method. (C) 2019 Published by Elsevier Inc.
机译:随着信息传输技术和计算机技术的发展,当今信息获取模式主要从字符转换为图像。然而,在获取和传输图像的过程中,由于各种因素,图像损伤和质量降低。因此,如何恢复图像已经成为图像处理领域的研究热点。建立了基于BP神经网络的图像复原模型。仿真结果表明,与传统的图像复原方法相比,该方法取得了很大的进步。 (C)2019由Elsevier Inc.发布

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