NDLI: Fine-Granularity and Spatially-Adaptive Regularization for Projection-Based Image Deblurring

Content Provider	IEEE Xplore Digital Library
Author	Xin Li
Copyright Year	1992
Abstract	This paper studies two classes of regularization strategies to achieve an improved tradeoff between image recovery and noise suppression in projection-based image deblurring. The first is based on a simple fact that r-times Landweber iteration leads to a fixed level of regularization, which allows us to achieve fine-granularity control of projection-based iterative deblurring by varying the value r. The regularization behavior is explained by using the theory of Lagrangian multiplier for variational schemes. The second class of regularization strategy is based on the observation that various regularized filters can be viewed as nonexpansive mappings in the metric space. A deeper understanding about different regularization filters can be gained by probing into their asymptotic behavior-the fixed point of nonexpansive mappings. By making an analogy to the states of matter in statistical physics, we can observe that different image structures (smooth regions, regular edges and textures) correspond to different fixed points of nonexpansive mappings when the temperature(regularization) parameter varies. Such an analogy motivates us to propose a deterministic annealing based approach toward spatial adaptation in projection-based image deblurring. Significant performance improvements over the current state-of-the-art schemes have been observed in our experiments, which substantiates the effectiveness of the proposed regularization strategies.
Sponsorship	IEEE Signal Processing Society
Page Count	13
File Size	3495712
Starting Page	971
Ending Page	983
File Format	PDF
ISSN	10577149
Volume Number	20
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image restoration TV Annealing Optimization Image edge detection Physics spatial adaptation Deterministic annealing fine-granularity regularization projection-based deblurring nonexpansive mapping
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization

Regional Spatially Adaptive Total Variation Super-Resolution With Spatial Information Filtering and Clustering

A spatially adaptive nonparametric regression image deblurring

Spatially Adaptive Block-Based Super-Resolution

Wavelet domain image restoration with adaptive edge-preserving regularization

A Generalized Accelerated Proximal Gradient Approach for Total-Variation-Based Image Restoration

Preconditioning for Edge-Preserving Image Super Resolution

Nonedge-Specific Adaptive Scheme for Highly Robust Blind Motion Deblurring of Natural Imagess

Combining spatial and scale-space techniques for edge detection to provide a spatially adaptive wavelet-based noise filtering algorithm

Fine-Granularity and Spatially-Adaptive Regularization for Projection-Based Image Deblurring

Similar Documents

Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization

Regional Spatially Adaptive Total Variation Super-Resolution With Spatial Information Filtering and Clustering

A spatially adaptive nonparametric regression image deblurring

Spatially Adaptive Block-Based Super-Resolution

Wavelet domain image restoration with adaptive edge-preserving regularization

A Generalized Accelerated Proximal Gradient Approach for Total-Variation-Based Image Restoration

Preconditioning for Edge-Preserving Image Super Resolution

Nonedge-Specific Adaptive Scheme for Highly Robust Blind Motion Deblurring of Natural Imagess

Combining spatial and scale-space techniques for edge detection to provide a spatially adaptive wavelet-based noise filtering algorithm

Fine-Granularity and Spatially-Adaptive Regularization for Projection-Based Image Deblurring