Results 11 to 20 of about 6,362 (162)

Image Deblurring Based on Residual Attention and Multi-feature Fusion [PDF]

Jisuanji kexue, 2023
Non-uniform blind deblurring in dynamic scenes is a challenging computer vision problem.Although deblurring algorithms based on deep learning have made great progress,there are still problems such as incomplete deblurring and loss of details.To solve ...
ZHAO Qian, ZHOU Dongming, YANG Hao, WANG Changchen
doaj   +1 more source

Real-world defocus deblurring via score-based diffusion models. [PDF]

Sci Rep
Li Y, Fang H, Lei X, Wang Q, Hu G, Dong J, Li Z, Lin J, Liu Q, Song X.   +9 more
europepmc   +3 more sources

Infrared Image Deblurring Based on Generative Adversarial Networks

International Journal of Optics, 2021
Blind deblurring of a single infrared image is a challenging computer vision problem. Because the blur is not only caused by the motion of different objects but also by the relative motion and jitter of cameras, there is a change of scene depth.
Yuqing Zhao, Guangyuan Fu, Hongqiao Wang, Shaolei Zhang, Min Yue   +4 more
doaj   +1 more source

Improved Classification of Blurred Images with Deep-Learning Networks Using Lucy-Richardson-Rosen Algorithm

Photonics, 2023
Pattern recognition techniques form the heart of most, if not all, incoherent linear shift-invariant systems. When an object is recorded using a camera, the object information is sampled by the point spread function (PSF) of the system, replacing every ...
Amudhavel Jayavel, Shivasubramanian Gopinath, Praveen Periyasamy Angamuthu, Francis Gracy Arockiaraj, Andrei Bleahu, Agnes Pristy Ignatius Xavier, Daniel Smith, Molong Han, Ivan Slobozhan, Soon Hock Ng, Tomas Katkus, Aravind Simon John Francis Rajeswary, Rajesh Sharma, Saulius Juodkazis, Vijayakumar Anand   +14 more
doaj   +1 more source

SharpGAN: Dynamic Scene Deblurring Method for Smart Ship Based on Receptive Field Block and Generative Adversarial Networks

Sensors, 2021
Complex marine environment has an adverse effect on the object detection algorithm based on the vision sensor for the smart ship sailing at sea. In order to eliminate the motion blur in the images during the navigation of the smart ship and ensure safety,
Hui Feng, Jundong Guo, Haixiang Xu, Shuzhi Sam Ge   +3 more
doaj   +1 more source

A retraced spiral strategy with semi-automatic deblurring for volumetric thermometry. [PDF]

Magn Reson Med
Abstract Purpose To develop a 3D MRI‐thermometry technique for transcranial MR‐guided focused ultrasound (MRgFUS). Methods A stack of retraced in‐out (RIO) spirals was incorporated into a 3D, RF‐spoiled, gradient recalled echo (GRE) sequence with a minimized energy deblurring strategy. Bloch simulations examined isochromat precession during RIO readout
Allen SP, Chen S, Yan K, Moore DA, Meyer CH.   +4 more
europepmc   +2 more sources

Iterative Dual CNNs for Image Deblurring

Mathematics, 2022
Image deblurring attracts research attention in the field of image processing and computer vision. Traditional deblurring methods based on statistical prior largely depend on the selected prior type, which limits their restoring ability.
Jinbin Wang, Ziqi Wang, Aiping Yang
doaj   +1 more source

Real Image Deblurring Based on Implicit Degradation Representations and Reblur Estimation

Applied Sciences, 2023
Most existing image deblurring methods are based on the estimation of blur kernels and end-to-end learning of the mapping relationship between blurred and sharp images.
Zihe Zhao, Man Qin, Haosong Gou, Zhengyong Wang, Chao Ren   +4 more
doaj   +1 more source

Joint Face Super-Resolution and Deblurring Using Generative Adversarial Network

IEEE Access, 2020
Facial image super-resolution (SR) is an important aspect of facial analysis, and it can contribute significantly to tasks such as face alignment, face recognition, and image-based 3D reconstruction. Recent convolutional neural network (CNN) based models
Jung Un Yun, Byungho Jo, In Kyu Park
doaj   +1 more source

Two-Level Wavelet-Based Convolutional Neural Network for Image Deblurring

IEEE Access, 2021
Image deblurring aims to restore the latent sharp image from the blurred one. In recent years, some learning-based image deblurring methods have achieved significant advances.
Yeyun Wu, Pan Qian, Xiaofeng Zhang
doaj   +1 more source