Image deblurring and denoising with non-local regularization constraint

An efficient non-convex total variation approach for image deblurring and denoising

Applied Mathematics and Computation ◽

10.1016/j.amc.2021.125977 ◽

2021 ◽

Vol 397 ◽

pp. 125977

Author(s):

Jingjing Liu ◽

Ruijie Ma ◽

Xiaoyang Zeng ◽

Wanquan Liu ◽

Mingyu Wang ◽

...

Keyword(s):

Total Variation ◽

Image Deblurring ◽

Variation Approach ◽

Deblurring And Denoising

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Iterative Image Restoration using a Non-Local Regularization Function and a Local Regularization Operator

18th International Conference on Pattern Recognition (ICPR'06) ◽

10.1109/icpr.2006.731 ◽

2006 ◽

Author(s):

Feng Xue ◽

Quan-sheng Liu ◽

Wei-hong Fan

Keyword(s):

Image Restoration ◽

Local Regularization ◽

Regularization Operator ◽

Non Local

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4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15705-9_18 ◽

2010 ◽

pp. 143-150 ◽

Cited By ~ 21

Author(s):

Xun Jia ◽

Yifei Lou ◽

Bin Dong ◽

Zhen Tian ◽

Steve Jiang

Keyword(s):

Computed Tomography ◽

Projection Data ◽

Local Regularization ◽

4D Computed Tomography ◽

Non Local ◽

Tomography Reconstruction ◽

Computed Tomography Reconstruction

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Non-Local Regularization and Registration of Multi-Valued Images By PDE’s and Variational Methods on Higher Dimensional Spaces

Springer Proceedings in Mathematics - Mathematical Image Processing ◽

10.1007/978-3-642-19604-1_10 ◽

2011 ◽

pp. 181-197 ◽

Cited By ~ 1

Author(s):

David Tschumperlé ◽

Luc Brun

Keyword(s):

Variational Methods ◽

Local Regularization ◽

Higher Dimensional ◽

Non Local

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The anti-reflective algebra: structural and computational analysis with application to image deblurring and denoising

CALCOLO ◽

10.1007/s10092-008-0148-1 ◽

2008 ◽

Vol 45 (3) ◽

pp. 149-175 ◽

Cited By ~ 4

Author(s):

Antonio Aricò ◽

Marco Donatelli ◽

Stefano Serra-Capizzano

Keyword(s):

Computational Analysis ◽

Image Deblurring ◽

Deblurring And Denoising

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Ultrasound Medical Image Deblurring and Denoising Method Using Variational Model on CUDA

Advances in Intelligent Systems and Computing - Advanced Computing and Systems for Security ◽

10.1007/978-981-10-8180-4_6 ◽

2018 ◽

pp. 95-108 ◽

Cited By ~ 1

Author(s):

Biswajit Biswas ◽

Biplab Kanti Sen ◽

Kashi Nath Dey

Keyword(s):

Medical Image ◽

Image Deblurring ◽

Variational Model ◽

Denoising Method ◽

Deblurring And Denoising

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A non-local regularization strategy for image deconvolution

Pattern Recognition Letters ◽

10.1016/j.patrec.2008.08.004 ◽

2008 ◽

Vol 29 (16) ◽

pp. 2206-2212 ◽

Cited By ~ 53

Author(s):

Max Mignotte

Keyword(s):

Image Deconvolution ◽

Local Regularization ◽

Non Local ◽

Regularization Strategy

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A fractional diffusion-wave equation with non-local regularization for image denoising

Signal Processing ◽

10.1016/j.sigpro.2013.10.028 ◽

2014 ◽

Vol 103 ◽

pp. 6-15 ◽

Cited By ~ 13

Author(s):

Wei Zhang ◽

Jiaojie Li ◽

Yupu Yang

Keyword(s):

Wave Equation ◽

Image Denoising ◽

Fractional Diffusion ◽

Diffusion Wave ◽

Local Regularization ◽

Non Local

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Non-local regularization of inverse problems

Inverse Problems & Imaging ◽

10.3934/ipi.2011.5.511 ◽

2011 ◽

Vol 5 (2) ◽

pp. 511-530 ◽

Cited By ~ 65

Author(s):

Gabriel Peyré ◽

◽

Sébastien Bougleux ◽

Laurent Cohen ◽

Keyword(s):

Inverse Problems ◽

Local Regularization ◽

Non Local

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A New Regularization Model Based on Non-Local Means for Image Deblurring

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.411-414.1164 ◽

2013 ◽

Vol 411-414 ◽

pp. 1164-1169 ◽

Cited By ~ 1

Author(s):

Zhi Ming Wang ◽

Hong Bao

Keyword(s):

Image Denoising ◽

Processing Speed ◽

Operator Splitting ◽

Image Deblurring ◽

Local Similarity ◽

Model Based ◽

Local Means ◽

Ill Posed ◽

Non Local ◽

Local Image

Image deblurring with noise is a typical ill-posed problem needs regularization. Various regularization models were proposed during several decades study, such as Tikhonov and TV. A new regularization model based non-local similarity constrains is proposed in this paper, which used l2 non-local norms and could be easily solved by fast non-local image denoising algorithm. By combining with Bregmanrized operator splitting (BOS) algorithm, a fast and efficient iterative three step image deblurring scheme is given. Experimental results show that proposed regularization model obtained better results on ten common test images than other similar regularization model including newly proposed NLTV regularization, both in deblurring performance (PSNR and MSSIM) and processing speed.

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