Sparse representation based iterative incremental image deblurring

Haichao Zhang; Yanning Zhang

doi:10.1109/ICIP.2009.5413591

Sparse representation based iterative incremental image deblurring

Haichao Zhang, Yanning Zhang

School of Computer Science

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

22 Scopus citations

Abstract

Inspired by the observation that in image restoration, parametric models are extremely specific while pixel-level models are too loose, tending to under or over fit the underlying image respectively, in this paper, we proposed an 'intermediate-language' based method for image deblurring. The solution space is represented at a level higher than the pixel-grid level, while retain an enough degree of freedom (DOF), thus avoids the common local under or over fitting problem. Considering the sparseness property of images, a sparse representation based incremental iterative method is established for blurry image restoration. Comprehensive experiments demonstrate that the framework integrating the sparseness property of images significantly improves the deblurring performance.

Original language	English
Title of host publication	2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
Publisher	IEEE Computer Society
Pages	1293-1296
Number of pages	4
ISBN (Print)	9781424456543
DOIs	https://doi.org/10.1109/ICIP.2009.5413591
State	Published - 2009
Event	2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt Duration: 7 Nov 2009 → 10 Nov 2009

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Conference

Conference	2009 IEEE International Conference on Image Processing, ICIP 2009
Country/Territory	Egypt
City	Cairo
Period	7/11/09 → 10/11/09

Keywords

Image deblurring
Image restoration
Sparse representation

Access to Document

10.1109/ICIP.2009.5413591

Cite this

@inproceedings{d67c7537dfa945ad98fdd3bd30b5f2e1,

title = "Sparse representation based iterative incremental image deblurring",

abstract = "Inspired by the observation that in image restoration, parametric models are extremely specific while pixel-level models are too loose, tending to under or over fit the underlying image respectively, in this paper, we proposed an 'intermediate-language' based method for image deblurring. The solution space is represented at a level higher than the pixel-grid level, while retain an enough degree of freedom (DOF), thus avoids the common local under or over fitting problem. Considering the sparseness property of images, a sparse representation based incremental iterative method is established for blurry image restoration. Comprehensive experiments demonstrate that the framework integrating the sparseness property of images significantly improves the deblurring performance.",

keywords = "Image deblurring, Image restoration, Sparse representation",

author = "Haichao Zhang and Yanning Zhang",

year = "2009",

doi = "10.1109/ICIP.2009.5413591",

language = "英语",

isbn = "9781424456543",

series = "Proceedings - International Conference on Image Processing, ICIP",

publisher = "IEEE Computer Society",

pages = "1293--1296",

booktitle = "2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings",

note = "2009 IEEE International Conference on Image Processing, ICIP 2009 ; Conference date: 07-11-2009 Through 10-11-2009",

}

Zhang, H & Zhang, Y 2009, Sparse representation based iterative incremental image deblurring. in 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings., 5413591, Proceedings - International Conference on Image Processing, ICIP, IEEE Computer Society, pp. 1293-1296, 2009 IEEE International Conference on Image Processing, ICIP 2009, Cairo, Egypt, 7/11/09. https://doi.org/10.1109/ICIP.2009.5413591

Sparse representation based iterative incremental image deblurring. / Zhang, Haichao; Zhang, Yanning.
2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings. IEEE Computer Society, 2009. p. 1293-1296 5413591 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Sparse representation based iterative incremental image deblurring

AU - Zhang, Haichao

AU - Zhang, Yanning

PY - 2009

Y1 - 2009

N2 - Inspired by the observation that in image restoration, parametric models are extremely specific while pixel-level models are too loose, tending to under or over fit the underlying image respectively, in this paper, we proposed an 'intermediate-language' based method for image deblurring. The solution space is represented at a level higher than the pixel-grid level, while retain an enough degree of freedom (DOF), thus avoids the common local under or over fitting problem. Considering the sparseness property of images, a sparse representation based incremental iterative method is established for blurry image restoration. Comprehensive experiments demonstrate that the framework integrating the sparseness property of images significantly improves the deblurring performance.

AB - Inspired by the observation that in image restoration, parametric models are extremely specific while pixel-level models are too loose, tending to under or over fit the underlying image respectively, in this paper, we proposed an 'intermediate-language' based method for image deblurring. The solution space is represented at a level higher than the pixel-grid level, while retain an enough degree of freedom (DOF), thus avoids the common local under or over fitting problem. Considering the sparseness property of images, a sparse representation based incremental iterative method is established for blurry image restoration. Comprehensive experiments demonstrate that the framework integrating the sparseness property of images significantly improves the deblurring performance.

KW - Image deblurring

KW - Image restoration

KW - Sparse representation

UR - http://www.scopus.com/inward/record.url?scp=77951966910&partnerID=8YFLogxK

U2 - 10.1109/ICIP.2009.5413591

DO - 10.1109/ICIP.2009.5413591

M3 - 会议稿件

AN - SCOPUS:77951966910

SN - 9781424456543

T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 1293

EP - 1296

BT - 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings

PB - IEEE Computer Society

T2 - 2009 IEEE International Conference on Image Processing, ICIP 2009

Y2 - 7 November 2009 through 10 November 2009

ER -

Sparse representation based iterative incremental image deblurring

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this