Super-resolution image restoration from blurred observations

Nirmal K. Bose; Michael K. Ng; Andy C. Yau

doi:10.1109/ISCAS.2005.1466080

Super-resolution image restoration from blurred observations

Nirmal K. Bose
, Michael K. Ng
, Andy C. Yau

Department of Mathematics

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

5 Citations (Scopus)

Abstract

Abstract In this paper, we study the problem of reconstruction of a high-resolution image from several blurred lowresolution image frames. The image frames consist of blurred, decimated and noisy versions of a high-resolution image. The high-resolution image is modeled as a Markov random field (MRF), and a maximum a posteriori (MAP) estimation technique is used for the restoration. We show that with the periodic boundary condition, a high-resolution image can be restored efficiently by using fast Fourier transforms. We also apply the preconditioned conjugate gradient method to restore highresolution images in the aperiodic boundary condition.

Original language	English
Title of host publication	2005 IEEE International Symposium on Circuits and Systems (ISCAS)
Publisher	IEEE
Pages	6296-6299
Number of pages	4
ISBN (Print)	0780388348
DOIs	https://doi.org/10.1109/ISCAS.2005.1466080
Publication status	Published - May 2005
Event	IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan Duration: 23 May 2005 → 26 May 2005

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
Publisher	IEEE
ISSN (Print)	0271-4302
ISSN (Electronic)	2158-1525

Conference

Conference	IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005
Country/Territory	Japan
City	Kobe
Period	23/05/05 → 26/05/05

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

User-Defined Keywords

High-resolution
Image restoration
Preconditioned conjugate gradient method
Regularization

Access to Document

10.1109/ISCAS.2005.1466080

Cite this

@inproceedings{eafe6d3368dc4986b5ba48480c797dab,

title = "Super-resolution image restoration from blurred observations",

abstract = "Abstract In this paper, we study the problem of reconstruction of a high-resolution image from several blurred lowresolution image frames. The image frames consist of blurred, decimated and noisy versions of a high-resolution image. The high-resolution image is modeled as a Markov random field (MRF), and a maximum a posteriori (MAP) estimation technique is used for the restoration. We show that with the periodic boundary condition, a high-resolution image can be restored efficiently by using fast Fourier transforms. We also apply the preconditioned conjugate gradient method to restore highresolution images in the aperiodic boundary condition.",

keywords = "High-resolution, Image restoration, Preconditioned conjugate gradient method, Regularization",

author = "Bose, \{Nirmal K.\} and Ng, \{Michael K.\} and Yau, \{Andy C.\}",

year = "2005",

month = may,

doi = "10.1109/ISCAS.2005.1466080",

language = "English",

isbn = "0780388348",

series = "Proceedings - IEEE International Symposium on Circuits and Systems",

publisher = "IEEE",

pages = "6296--6299",

booktitle = "2005 IEEE International Symposium on Circuits and Systems (ISCAS)",

address = "United States",

note = "IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 ; Conference date: 23-05-2005 Through 26-05-2005",

}

Bose, NK, Ng, MK & Yau, AC 2005, Super-resolution image restoration from blurred observations. in 2005 IEEE International Symposium on Circuits and Systems (ISCAS). Proceedings - IEEE International Symposium on Circuits and Systems, IEEE, pp. 6296-6299, IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005, Kobe, Japan, 23/05/05. https://doi.org/10.1109/ISCAS.2005.1466080

Super-resolution image restoration from blurred observations. / Bose, Nirmal K.; Ng, Michael K.; Yau, Andy C.
2005 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2005. p. 6296-6299 (Proceedings - IEEE International Symposium on Circuits and Systems).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - Super-resolution image restoration from blurred observations

AU - Bose, Nirmal K.

AU - Ng, Michael K.

AU - Yau, Andy C.

PY - 2005/5

Y1 - 2005/5

N2 - Abstract In this paper, we study the problem of reconstruction of a high-resolution image from several blurred lowresolution image frames. The image frames consist of blurred, decimated and noisy versions of a high-resolution image. The high-resolution image is modeled as a Markov random field (MRF), and a maximum a posteriori (MAP) estimation technique is used for the restoration. We show that with the periodic boundary condition, a high-resolution image can be restored efficiently by using fast Fourier transforms. We also apply the preconditioned conjugate gradient method to restore highresolution images in the aperiodic boundary condition.

AB - Abstract In this paper, we study the problem of reconstruction of a high-resolution image from several blurred lowresolution image frames. The image frames consist of blurred, decimated and noisy versions of a high-resolution image. The high-resolution image is modeled as a Markov random field (MRF), and a maximum a posteriori (MAP) estimation technique is used for the restoration. We show that with the periodic boundary condition, a high-resolution image can be restored efficiently by using fast Fourier transforms. We also apply the preconditioned conjugate gradient method to restore highresolution images in the aperiodic boundary condition.

KW - High-resolution

KW - Image restoration

KW - Preconditioned conjugate gradient method

KW - Regularization

UR - https://www.scopus.com/pages/publications/34248566145

UR - https://ieeexplore.ieee.org/document/1466080

U2 - 10.1109/ISCAS.2005.1466080

DO - 10.1109/ISCAS.2005.1466080

M3 - Conference proceeding

AN - SCOPUS:34248566145

SN - 0780388348

T3 - Proceedings - IEEE International Symposium on Circuits and Systems

SP - 6296

EP - 6299

BT - 2005 IEEE International Symposium on Circuits and Systems (ISCAS)

PB - IEEE

T2 - IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005

Y2 - 23 May 2005 through 26 May 2005

ER -

Super-resolution image restoration from blurred observations

Abstract

Publication series

Conference

UN SDGs

User-Defined Keywords

Access to Document

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