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
相关论文
共 50 条
  • [21] Recognition of motion-blurred images by use of the method of moments
    Stern, Adrian
    Kruchakov, Inna
    Yoavi, Eitan
    Kopeika, Norman S.
    Applied Optics, 2002, 41 (11): : 2164 - 2171
  • [22] Motion deblurring based on fusing differently exposed images
    Tico, Marius
    Vehvilainen, Markku
    DIGITAL PHOTOGRAPHY III, 2007, 6502
  • [23] New blind restoration of motion blurred images based on super-resolution method
    Zhao, Lin
    Jin, Wei-Qi
    Chen, Yi-Nan
    Zhang, Gui-Qing
    Shen, Ya-Zhong
    Yang, Chun-Song
    Guangzi Xuebao/Acta Photonica Sinica, 2008, 37 (11): : 2355 - 2359
  • [24] LOCAL METHOD FOR DIGITALLY RESTORING MOTION-BLURRED IMAGES
    HYMAN, JM
    SANDERSON, JG
    IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1978, 26 (03): : 256 - 263
  • [25] Recognition of motion-blurred images by use of the method of moments
    Stern, A
    Kruchakov, I
    Yoavi, E
    Kopeika, NS
    APPLIED OPTICS, 2002, 41 (11) : 2164 - 2171
  • [26] Real-Time Deblurring of Handshake Blurred Images on Smartphones
    Pourreza-Shahri, Reza
    Chang, Chih-Hsiang
    Kehtarnavaz, Nasser
    REAL-TIME IMAGE AND VIDEO PROCESSING 2015, 2015, 9400
  • [27] Profile measurements for images blurred by motion
    Su, Wei-Hung
    PHOTONIC FIBER AND CRYSTAL DEVICES: ADVANCES IN MATERIALS AND INNOVATIONS IN DEVICE APPLICATIONS IV, 2010, 7781
  • [28] Restoration of Horizontal Motion Blurred Images Based on Wiener Filtering
    Qian, Ying
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 3308 - 3313
  • [29] Registration algorithm for motion blurred images
    Arya, K. V.
    Gupta, P.
    PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ADVANCES IN PATTERN RECOGNITION, 2007, : 186 - +
  • [30] Noisy Motion-blurred Images Restoration Based on RBFN
    Zhu, Xinzhong
    Zhao, Jianmin
    Duanmu, C. J.
    Xu, Huiying
    JOURNAL OF RESEARCH AND PRACTICE IN INFORMATION TECHNOLOGY, 2009, 41 (03): : 195 - 208