Deblurring method for motion blurred images based on gan

被引:0
|
作者
Li N. [1 ]
Chen S. [1 ]
Tang M. [1 ]
Kan J. [1 ]
机构
[1] School of technology, Beijing Forestry University No, 35 Tsinghua East Road, Haidian District, Beijing
关键词
Generative adversarial network; Image recovery; Mobilenet-V3; networks; —Motion deblur;
D O I
10.46300/9106.2021.15.12
中图分类号
学科分类号
摘要
— The purpose of image motion deblur is to recover the underlying clear image from the corresponding blur image. In most traditional methods, the image recovery task is formulated as a problem of blur core estimation and use a priori to calculate. In this paper we proposes a generative adversarial network(GAN) model based on the mobilenet-V3 network structure to meet the needs of motion blurred image recovery on mobile devices. Based on traditional evaluation indicators, we propose a new evaluation metric on mobile device. Extensive experiments show that our method is superior to the competing methods. © 2021, North Atlantic University Union NAUN. All rights reserved.
引用
收藏
页码:106 / 113
页数:7
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