Results 11 to 20 of about 4,335 (202)

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 Pena, Pedro Diamel Marrero Fernandez, Tsang Ing Ren, Jorge de Jesus Gomes Leandro, Ricardo Massahiro Nishihara   +4 more
openaire   +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

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

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 Text Image Deblurring Algorithm Based on Multi-Scale Fusion and Sparse Priors

IEEE Access, 2023
The goal of blind text image deblurring is to obtain a clean text image from the given blurry text image without knowing the blur kernel. Sparsity-based methods have been shown their effectiveness in various blind text image deblurring models.
Zhe Li, Ming Yang, Libo Cheng, Xiaoning Jia   +3 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 Ljubenović, Paolo Guzzonato, Giulia Franceschin, Arianna Traviglia   +3 more
openaire   +2 more sources

Reference-Based Multi-Level Features Fusion Deblurring Network for Optical Remote Sensing Images

Remote Sensing, 2022
Blind image deblurring is a long-standing challenge in remote sensing image restoration tasks. It aims to recover a latent sharp image from a blurry image while the blur kernel is unknown.
Zhiyuan Li, Jiayi Guo, Yueting Zhang, Jie Li, Yirong Wu   +4 more
doaj   +1 more source

Blind deblurring of natural images [PDF]

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008
A new method to perform blind image deblurring is proposed. Very few assumptions are made on the blurring filter and on the original image: the blurring filter is assumed to have limited support and the original image is assumed to be a sharp natural image. A new prior is used, which gives higher probability to images with sharp edges.
Mariana S. C. Almeida, Luis B. Almeida
openaire   +1 more source