NDLI: Bayesian Shearlet shrinkage for SAR image de-noising via sparse representation

Content Provider	Springer Nature Link
Author	Liu, Shuai Qi Hu, Shao Hai Xiao, Yang An, Yong Li
Copyright Year	2013
Abstract	As SAR has been widely used nearly in every field, how to improve SAR’s image in both quality and visual effect has become necessary. Before what we really process the SAR image like image segmentation, edge detection, target detection or other processing, we must suppress the speckle noise in the image firstly. By analyzing the sorts and origins of noises, we present a new de-noising method of SAR image in the Shearlet domain based on sparse representation and Bayesian theory. Firstly, we apply the Shearlet transform to the noised SAR image. Secondly, we construct a new de-noising model via sparse representation and then use iterative algorithm based on Bayesian theory to solve it. Lastly, we can obtain the clean SAR image from the de-nosing Shearlet coefficients. The experimental results show that the proposed algorithm can not only effectively suppress speckle noise to improve the PSNR of SAR image, but also significantly improves the visual effect of SAR image, especially in enhancing the image’s texture.
Starting Page	683
Ending Page	701
Page Count	19
File Format	PDF
ISSN	09236082
Journal	Multidimensional Systems and Signal Processing
Volume Number	25
Issue Number	4
e-ISSN	15730824
Language	English
Publisher	Springer US
Publisher Date	2013-02-08
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	SAR image de-nosing Sparse representation Shearlet de-nosing Conjugate gradient method Circuits and Systems Electrical Engineering Signal, Image and Speech Processing Artificial Intelligence (incl. Robotics)
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Signal Processing Information Systems Computer Science Applications Software Hardware and Architecture

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 fusion based on complex-shearlet domain with guided filtering

SAR Image Superresolution via 2-D Adaptive Extrapolation

Detection and Analysis of Anisotropic Scattering in SAR Data

Sparse representation-based joint angle and Doppler frequency estimation for MIMO radar

Source localization using a sparse representation framework to achieve superresolution

Superresolution reconstruction using nonlinear gradient-based regularization

Neighbors isometric embedding nonnegative matrix factorization for image representation

Multidimensional systems and signal processing editorial

Positive Time-Frequency Distributions via Quadratic Programming

Bayesian Shearlet shrinkage for SAR image de-noising via sparse representation

Similar Documents

Image fusion based on complex-shearlet domain with guided filtering

SAR Image Superresolution via 2-D Adaptive Extrapolation

Detection and Analysis of Anisotropic Scattering in SAR Data

Sparse representation-based joint angle and Doppler frequency estimation for MIMO radar

Source localization using a sparse representation framework to achieve superresolution

Superresolution reconstruction using nonlinear gradient-based regularization

Neighbors isometric embedding nonnegative matrix factorization for image representation

Multidimensional systems and signal processing editorial

Positive Time-Frequency Distributions via Quadratic Programming

Bayesian Shearlet shrinkage for SAR image de-noising via sparse representation