Results 31 to 40 of about 6,499 (150)

A Deep Motion Deblurring Network Using Channel Adaptive Residual Module

IEEE Access, 2021
In this paper, we solve the problem of dynamic scenes deblurring with motion blur. Restoration of images in the presence of motion blur necessitates a network design that the receptive field can completely cover all areas that need to be deblurred, while
Ying Chen, Guangmang Cui, Jitong Zhang, Jufeng Zhao   +3 more
doaj   +1 more source

A New Method of Blurring and Deblurring Digital Images Using the Markov Basis

Journal of Kufa for Mathematics and Computer, 2016
In this paper, we introduce a new method of blurring and deblurring digital images using new filters generating from Average filter using HB Markov basis. We call these filters HB-filters. We used these filters to cause a motion blur and then deblurring
Hind Rustum Mohammed, KawtherBasim Rasool al-dbag, Husein Hadi Abbass   +2 more
doaj   +1 more source

Light Field Blind Motion Deblurring

, 2017
We study the problem of deblurring light fields of general 3D scenes captured under 3D camera motion and present both theoretical and practical contributions.
Ng, Ren, Ramamoorthi, Ravi, Srinivasan, Pratul P.   +2 more
core   +1 more source

Deblurring by Realistic Blurring

, 2020
Existing deep learning methods for image deblurring typically train models using pairs of sharp images and their blurred counterparts. However, synthetically blurring images do not necessarily model the genuine blurring process in real-world scenarios ...
Li, Hongdong, Liu, Wei, Luo, Wenhan, Ma, Lin, Stenger, Bjorn, Zhang, Kaihao, Zhong, Yiran   +6 more
core   +1 more source

An Edge-Enhanced Branch for Multi-Frame Motion Deblurring

IEEE Access
Non-uniform deblurring is one of the most important image restoration tasks for providing appropriate information for subsequent applications that require image recognition.
Sota Moriyama, Koichi Ichige
doaj   +1 more source

Learning Blind Motion Deblurring

, 2017
As handheld video cameras are now commonplace and available in every smartphone, images and videos can be recorded almost everywhere at anytime. However, taking a quick shot frequently yields a blurry result due to unwanted camera shake during recording ...
Hirsch, Michael, Lensch, Hendrik P. A., Schölkopf, Bernhard, Wieschollek, Patrick   +3 more
core   +1 more source

Simultaneous Stereo Video Deblurring and Scene Flow Estimation

, 2017
Videos for outdoor scene often show unpleasant blur effects due to the large relative motion between the camera and the dynamic objects and large depth variations. Existing works typically focus monocular video deblurring.
Dai, Yuchao, Liu, Miaomiao, Pan, Liyuan, Porikli, Fatih   +3 more
core   +1 more source

DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

, 2018
We present DeblurGAN, an end-to-end learned method for motion deblurring. The learning is based on a conditional GAN and the content loss . DeblurGAN achieves state-of-the art performance both in the structural similarity measure and visual appearance ...
Budzan, Volodymyr, Kupyn, Orest, Matas, Jiri, Mishkin, Dmytro, Mykhailych, Mykola   +4 more
core   +1 more source

Deep Pyramid Generative Adversarial Network With Local and Nonlocal Similarity Features for Natural Motion Image Deblurring

IEEE Access, 2019
It is of great importance to capture long-range dependency in image deblurring based on deep learning. Existing methods often capture long-range dependency by a large receptive field, which contributes by deep stacks of local convolutional operations ...
Bingxin Zhao, Weihong Li, Weiguo Gong
doaj   +1 more source

Thermal Image Reconstruction Using Deep Learning

IEEE Access, 2020
A high-resolution thermal camera is very expensive and is thus difficult to be used. Furthermore, thermal images become blurred in various cases of object motion, camera shaking, and camera defocusing. To solve these problems, a previous super-resolution
Ganbayar Batchuluun, Young Won Lee, Dat Tien Nguyen, Tuyen Danh Pham, Kang Ryoung Park   +4 more
doaj   +1 more source