Results 101 to 110 of about 4,539 (201)

Blind motion deblurring using improved DeblurGAN

open access: yesIET Image Processing
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 ...
Wentao Ji, Xing Chen, Yihong Li
doaj   +1 more source

Patch-Wise Blind Image Deblurring Via Michelson Channel Prior

open access: yesIEEE Access, 2019
Motion blur exists in many computer vision tasks, including faces, texts, and low-illumination images etc. It has been proved that Dark Channel Prior (DCP) and Bright Channel Prior (BCP) can both help the image deblurring by enhancing the dark or bright ...
Guoquan Wen   +4 more
doaj   +1 more source

FPGA-Based Real-Time Deblurring and Enhancement for UAV-Captured Infrared Imagery

open access: yesRemote Sensing
In response to the inherent limitations of uncooled infrared imaging devices and the image degradation caused by UAV (Unmanned Aerial Vehicle) platform motion, resulting in low contrast and blurred details, a novel single-image blind deblurring and ...
Jianghua Cheng   +4 more
doaj   +1 more source

A Variational Neural Network Based on Algorithm Unfolding for Image Blind Deblurring

open access: yesApplied Sciences
Image blind deblurring is an ill-posed inverse problem in image processing. While deep learning approaches have demonstrated effectiveness, they often lack interpretability and require extensive data.
Shaoqing Gong   +5 more
doaj   +1 more source

Nonlinear Deblurring for Low-Light Saturated Image. [PDF]

open access: yesSensors (Basel), 2023
Cao S, Chang Y, Xu S, Fang H, Yan L.
europepmc   +1 more source

A Fast Nonlinear Sparse Model for Blind Image Deblurring. [PDF]

open access: yesJ Imaging
Zhang Z   +8 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy