Deconvolution using singular integral regularization and curvelet shrinkage

Jianwei Ma

doi:10.1016/j.physleta.2007.04.006

Deconvolution using singular integral regularization and curvelet shrinkage

Jianwei Ma^*

^*Corresponding author for this work

Tsinghua University

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

A special inverse problem, image deconvolution/deblurring is considered in this Letter by combining a singular integral regularization with a constrained curvelet shrinkage. The proposed technique is quite efficient and stable for recovery of texture when the observed image is contaminated with noise. Numerical experiments illustrate the good performance in comparison to some existing methods.

Original language	English
Pages (from-to)	245-250
Number of pages	6
Journal	Physics Letters, Section A: General, Atomic and Solid State Physics
Volume	368
Issue number	3-4
DOIs	https://doi.org/10.1016/j.physleta.2007.04.006
State	Published - 20 Aug 2007
Externally published	Yes

Keywords

Deblurring
Geometric wavelets
Inverse problem
Singular integrals

Access to Document

10.1016/j.physleta.2007.04.006

Cite this

@article{54b7aac5fce64d56a514c64f90a35053,

title = "Deconvolution using singular integral regularization and curvelet shrinkage",

abstract = "A special inverse problem, image deconvolution/deblurring is considered in this Letter by combining a singular integral regularization with a constrained curvelet shrinkage. The proposed technique is quite efficient and stable for recovery of texture when the observed image is contaminated with noise. Numerical experiments illustrate the good performance in comparison to some existing methods.",

keywords = "Deblurring, Geometric wavelets, Inverse problem, Singular integrals",

author = "Jianwei Ma",

year = "2007",

month = aug,

day = "20",

doi = "10.1016/j.physleta.2007.04.006",

language = "英语",

volume = "368",

pages = "245--250",

journal = "Physics Letters, Section A: General, Atomic and Solid State Physics",

issn = "0375-9601",

publisher = "Elsevier B.V.",

number = "3-4",

}

TY - JOUR

T1 - Deconvolution using singular integral regularization and curvelet shrinkage

AU - Ma, Jianwei

PY - 2007/8/20

Y1 - 2007/8/20

N2 - A special inverse problem, image deconvolution/deblurring is considered in this Letter by combining a singular integral regularization with a constrained curvelet shrinkage. The proposed technique is quite efficient and stable for recovery of texture when the observed image is contaminated with noise. Numerical experiments illustrate the good performance in comparison to some existing methods.

AB - A special inverse problem, image deconvolution/deblurring is considered in this Letter by combining a singular integral regularization with a constrained curvelet shrinkage. The proposed technique is quite efficient and stable for recovery of texture when the observed image is contaminated with noise. Numerical experiments illustrate the good performance in comparison to some existing methods.

KW - Deblurring

KW - Geometric wavelets

KW - Inverse problem

KW - Singular integrals

UR - https://www.scopus.com/pages/publications/34547702181

U2 - 10.1016/j.physleta.2007.04.006

DO - 10.1016/j.physleta.2007.04.006

M3 - 文章

AN - SCOPUS:34547702181

SN - 0375-9601

VL - 368

SP - 245

EP - 250

JO - Physics Letters, Section A: General, Atomic and Solid State Physics

JF - Physics Letters, Section A: General, Atomic and Solid State Physics

IS - 3-4

ER -

Deconvolution using singular integral regularization and curvelet shrinkage

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this