Blind motion deblurring using improved DeblurGAN
Abstract To develop a fast and effective image deblurring method, the blind recovery of motion‐blurred images based on DeblurGAN(GAN, Generative Adversarial Networks) is researched.Firstly, the number of residual modules in the DeblurGAN network is changed, and an attempt is made to optimize the net...
Main Authors: | Wentao Ji, Xing Chen, Yihong Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-02-01
|
Series: | IET Image Processing |
Subjects: | |
Online Access: | https://doi.org/10.1049/ipr2.12951 |
Similar Items
-
DeblurGAN-CNN: Effective Image Denoising and Recognition for Noisy Handwritten Characters
by: Sarayut Gonwirat, et al.
Published: (2022-01-01) -
Restoration of Motion Blurred Image by Modified DeblurGAN for Enhancing the Accuracies of Finger-Vein Recognition
by: Jiho Choi, et al.
Published: (2021-07-01) -
A motion blurring removal method based on improved DeblurGAN-v2 for coal mine belt conveyor images
by: Hongwei FAN, et al.
Published: (2024-12-01) -
Motion deblurring : algorithms and systems /
by: Rajagopalan, A. N., editor, et al.
Published: (2014) -
High-Frequency Attention Residual GAN Network for Blind Motion Deblurring
by: Jitong Zhang, et al.
Published: (2022-01-01)