Results 11 to 20 of about 9,413,043 (217)

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   +2 more sources

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

J Imaging
Blind image deblurring, which requires simultaneous estimation of the latent image and blur kernel, constitutes a classic ill-posed problem. To address this, priors based on L2, L1, and Lp regularizations have been widely adopted.
Zhang Z, Guo Z, Xu Z, Chen H, Wang C, Song Y, Lai J, Ji Y, Li Z.   +8 more
europepmc   +2 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

A Single Image Deblurring Approach Based on a Fractional Order Dark Channel Prior

International Journal of Applied Mathematics and Computer Science, 2022
The dark channel prior has been successfully applied to solve the blind deblurring problem on different scene images. Since the dark channel of the blurry-noise image is similar to that of the corresponding clear image, the sparsity of the dark channel ...
Yu Xiaoyuan, Xie Wei, Yu Jinwei
doaj   +1 more source

Burst Ranking for Blind Multi-Image Deblurring [PDF]

IEEE Transactions on Image Processing, 2020
We propose a new incremental aggregation algorithm for multi-image deblurring with automatic image selection. The primary motivation is that current bursts deblurring methods do not handle well situations in which misalignment or out-of-context frames are present in the burst.
Fidel Alejandro Guerrero Peña, Pedro Diamel Marrero Fernández, Tsang Ing Ren, Jorge de Jesus Gomes Leandro, Ricardo Massahiro Nishihara   +4 more
openaire   +4 more sources

MedDeblur: Medical Image Deblurring with Residual Dense Spatial-Asymmetric Attention

Mathematics, 2022
Medical image acquisition devices are susceptible to producing blurry images due to respiratory and patient movement. Despite having a notable impact on such blind-motion deblurring, medical image deblurring is still underexposed.
S. M. A. Sharif, Rizwan Ali Naqvi, Zahid Mehmood, Jamil Hussain, Ahsan Ali, Seung-Won Lee   +5 more
doaj   +1 more source

COMBINED PATCH-WISE MINIMAL-MAXIMAL PIXELS REGULARIZATION FOR DEBLURRING [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Deblurring is a vital image pre-processing procedure to improve the quality of images. It is a classical ill-posed problem. A new blind deblurring method based on image sparsity prior is proposed here.
J. Han, S. L. Zhang, Z. Ye
doaj   +1 more source

An image defocus deblurring method based on gradient difference of boundary neighborhood

Virtual Reality & Intelligent Hardware, 2023
Background: For static scenes with multiple depth layers, the existing defocused image deblurring methods have the problems of edge ringing artifacts or insufficient deblurring degree due to inaccurate estimation of blur amount, In addition, the prior ...
Junjie TAO, Yinghui WANG, Haomiao M.A, Tao YAN, Lingyu AI, Shaojie ZHANG, Wei LI   +6 more
doaj   +1 more source

Blind Deblurring of Hyperspectral Document Images

, 2022
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101026453. This work is published in the Lecture Notes in Computer Science book series (LNCS, volume 13373) as part of the Image Analysis and Processing, ICIAP 2022 ...
Marina Ljubenovic, Paolo Guzzonato, Giulia Franceschin, Arianna Traviglia   +3 more
openaire   +4 more sources

Blind deblurring of foreground-background images [PDF]

2009 16th IEEE International Conference on Image Processing (ICIP), 2009
This paper presents a method for deblurring an image consisting of two layers (a foreground layer and a background layer) which have suffered different, unknown blurs. This is a situation of practical interest. For example, it is common to find images in which we have a foreground object (e.g. a car) which has motion blur while the background is sharp (
Mariana S. C. Almeida, Luís B. Almeida
openaire   +1 more source