Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 234,860,756 papers from all fields of science
Search
Sign In
Create Free Account
Deblurring
Known as:
Image deblurring
Deblurring is the process of removing blurring artifacts from images, such as blur caused by defocus aberration or motion blur. The blur is typically…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
7 relations
Blind deconvolution
Convolution
Deconvolution
Echo removal
Expand
Broader (1)
Image processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Densely Connected High Order Residual Network for Single Frame Image Super Resolution
Yiwen Huang
,
Minghai Qin
arXiv.org
2018
Corpus ID: 4956263
Deep convolutional neural networks (DCNN) have been widely adopted for research on super resolution recently, however previous…
Expand
Review
2017
Review
2017
A Comparative Review Paper for Noise Models and Image Restoration Techniques
Ishfaq Nazir
,
Roohi Jan
,
Uzma Nazir
,
A.K. Yousuf
2017
Corpus ID: 212514130
: The process of image restoration involves recovering the original image by eliminating noise and blur from image, since image…
Expand
2016
2016
Adaptive boosting for image denoising: Beyond low-rank representation and sparse coding
Bo Wang
,
T. Lu
,
Zixiang Xiong
International Conference on Pattern Recognition
2016
Corpus ID: 21993766
In the past decade, much progress has been made in image denoising due to the use of low-rank representation and sparse coding…
Expand
2016
2016
Optimal selection of the regularization function in a generalized total variation model. Part I: Modelling and theory
M. Hintermueller
,
Carlos N. Rautenberg
2016
Corpus ID: 54514001
2015
2015
Hybrid Regularized Blur Kernel Estimation for Single-Image Blind Deconvolution
R. W. Liu
,
Di Wu
,
Chuansheng Wu
,
N. Xiong
IEEE International Conference on Systems, Man and…
2015
Corpus ID: 20727840
Single-image blind deconvolution is a challenging illposed inverse problem which requires regularization techniques to stabilize…
Expand
2015
2015
Image inpainting with group based sparse representation using self adaptive dictionary learning
T. S. Rao
,
M. Rao
,
T. Aswini
International Conference on Signal Processing and…
2015
Corpus ID: 14821721
Inpainting is an imaging technique that modifying an image in an undetectable form, is as ancient as art itself. The goals and…
Expand
2014
2014
Compressive Classification of a Mixture of Gaussians: Analysis, Designs and Geometrical Interpretation
H. Reboredo
,
F. Renna
,
R. Calderbank
,
M. Rodrigues
arXiv.org
2014
Corpus ID: 18367633
This paper derives fundamental limits on the performance of compressive classification when the source is a mixture of Gaussians…
Expand
2008
2008
Estimation and Removal of Motion Blur by Capturing Two Images with Different Exposures
Suk Hwan Lim
,
A. Silverstein
2008
Corpus ID: 14532778
© Estimation and Removal of Motion Blur by Capturing Two Images with
2004
2004
Restoration of Wavelet-Compressed Images and Motion Imagery
M. Robertson
2004
Corpus ID: 14234034
Abstract : This technical report investigates the characteristics of compression noise in images and motion imagery compressed by…
Expand
1995
1995
Texture synthesis with Bussgang techniques
G. Jacovitti
,
A. Neri
,
G. Scarano
Proceedings., International Conference on Image…
1995
Corpus ID: 19468274
A new technique for unsupervised texture synthesis by analysis is presented. It employs a stochastic model of textured fields…
Expand