Results 131 to 140 of about 9,140,641 (221)

Scale-Recurrent Network for Deep Image Deblurring

, 2018
In single image deblurring, the 'coarse-to-fine' scheme, i.e. gradually restoring the sharp image on different resolutions in a pyramid, is very successful in both traditional optimization-based methods and recent neural-network-based approaches. In this
Xin Tao, Tao, Xin, Wang, Jue, Hongyun Gao, Jia, Jiaya, Xiaoyong Shen, Jue Wang, Jiaya Jia, Shen, Xiaoyong, Gao, Hongyun   +9 more
core   +1 more source

Blind Remote Sensing Image Deblurring Based on Local Maximum High-Frequency Coefficient Prior and Graph Regularization

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In satellite remote sensing imaging, factors such as optical axis shift, image plane jitter, movement of the target object, and Earth's rotation can induce image blur.
Zhidan Cai, Ming Fang, Zhe Li, Jinyi Ming, Huimin Wang   +4 more
doaj   +1 more source

Image Deblurring Method with Fractional-order Total Variation and Adaptive Regularization Parameters

工程科学与技术, 2018
In order to better recovery texture details of images, avoid the difficulty of selecting the regularization parameters when solving the image deblurring model, a novel non-blind image deblurring method by using fractional order TV (FOTV) and adaptive ...
Xiaomei YANG, Yuqing XIANG, Yanan LIU, Xiujuan ZHENG   +3 more
doaj  

Multichannel deblurring of digital images

Kybernetika, 2011
Summary: Blur is a common problem that limits the effective resolution of many imaging systems. In this article, we give a general overview of methods that can be used to reduce the blur. This includes the classical multi-channel deconvolution problems as well as challenging extensions to spatially varying blur.
Šorel, M. (Michal), Šroubek, F. (Filip), Flusser, J. (Jan)   +2 more
openaire   +3 more sources

Residual Diffusion Deblurring Model for Single Image Defocus Deblurring

Defocus deblurring is a challenging task due to the spatially varying nature of defocus blur with multiple plausible solutions of a single given image.
Zhou, Haohui, Zhu, Lei, Chen, Sixiang, Feng, Haoxuan, Ye, Tian   +4 more
core   +1 more source

Deblurring Image with a Barcode [PDF]

, 2016
This paper focuses on the restoration of blurred images which contains barcodes. In the captured image might appear errors such as blurring or noise. The mistakes occur during the handshake or movement of the subject.
Cekova, Katerina, Stojanovic, Igor
core  

Image Deblurring via Frequency-Domain Feature Enhanced Convolutional Neural Networks. [PDF]

Sensors (Basel)
Guo Y, Ma L, Zhang Y.
europepmc   +1 more source

Theory and computation of variational image deblurring

, 2007
To recover a sharp image from its blurry observation is the problem known as image deblurring. It frequently arises in imaging sciences and technologies, including optical, medical, and astronomical applications, and is crucial for allowing to detect ...
Chan, Tony F., Shen, Jianhong
core  

A Sharpness-Optimized Partitioned PSF Estimation Method for UAV TDI Push-Broom Image Deblurring. [PDF]

Sensors (Basel)
Zhang Z, Xu M.
europepmc   +1 more source

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

J Imaging
Zhang Z, Guo Z, Xu Z, Chen H, Wang C, Song Y, Lai J, Ji Y, Li Z.   +8 more
europepmc   +1 more source