Dynamic programming based multichannel image restoration

Mrityunjay Kumar; Pradeep Ramuhalli

doi:10.1109/ICASSP.2005.1415478

Dynamic programming based multichannel image restoration

Mrityunjay Kumar, Pradeep Ramuhalli

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

4 Scopus citations

Abstract

Blind restoration of single-input/multiple-output images finds application in diverse fields including multi-sensor remote sensing, non-destructive testing and medical imaging. In this paper an iterative forward propagation dynamic programming based approach is proposed for restoring images in a single-input/multiple-output multichannel framework. This algorithm exploits cross channel correlation for restoring images, leading to improved performance as compared to single channel restoration. The algorithm is applied to both synthetic as well as experimental data and initial results indicate the feasibility of the proposed algorithm.

Original language	English
Title of host publication	2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing
Pages	II609-II612
DOIs	https://doi.org/10.1109/ICASSP.2005.1415478
State	Published - 2005
Externally published	Yes
Event	2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States Duration: Mar 18 2005 → Mar 23 2005

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	II
ISSN (Print)	1520-6149

Conference

Conference	2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Country/Territory	United States
City	Philadelphia, PA
Period	03/18/05 → 03/23/05

Access to Document

10.1109/ICASSP.2005.1415478

Cite this

Kumar, M., & Ramuhalli, P. (2005). Dynamic programming based multichannel image restoration. In 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing (pp. II609-II612). Article 1415478 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. II). https://doi.org/10.1109/ICASSP.2005.1415478

Kumar, Mrityunjay ; Ramuhalli, Pradeep. / Dynamic programming based multichannel image restoration. 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing. 2005. pp. II609-II612 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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title = "Dynamic programming based multichannel image restoration",

abstract = "Blind restoration of single-input/multiple-output images finds application in diverse fields including multi-sensor remote sensing, non-destructive testing and medical imaging. In this paper an iterative forward propagation dynamic programming based approach is proposed for restoring images in a single-input/multiple-output multichannel framework. This algorithm exploits cross channel correlation for restoring images, leading to improved performance as compared to single channel restoration. The algorithm is applied to both synthetic as well as experimental data and initial results indicate the feasibility of the proposed algorithm.",

author = "Mrityunjay Kumar and Pradeep Ramuhalli",

year = "2005",

doi = "10.1109/ICASSP.2005.1415478",

language = "English",

isbn = "0780388747",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

pages = "II609--II612",

booktitle = "2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing",

note = "2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 ; Conference date: 18-03-2005 Through 23-03-2005",

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Kumar, M & Ramuhalli, P 2005, Dynamic programming based multichannel image restoration. in 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing., 1415478, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. II, pp. II609-II612, 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, Philadelphia, PA, United States, 03/18/05. https://doi.org/10.1109/ICASSP.2005.1415478

Dynamic programming based multichannel image restoration. / Kumar, Mrityunjay; Ramuhalli, Pradeep.
2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing. 2005. p. II609-II612 1415478 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. II).

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

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AU - Ramuhalli, Pradeep

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N2 - Blind restoration of single-input/multiple-output images finds application in diverse fields including multi-sensor remote sensing, non-destructive testing and medical imaging. In this paper an iterative forward propagation dynamic programming based approach is proposed for restoring images in a single-input/multiple-output multichannel framework. This algorithm exploits cross channel correlation for restoring images, leading to improved performance as compared to single channel restoration. The algorithm is applied to both synthetic as well as experimental data and initial results indicate the feasibility of the proposed algorithm.

AB - Blind restoration of single-input/multiple-output images finds application in diverse fields including multi-sensor remote sensing, non-destructive testing and medical imaging. In this paper an iterative forward propagation dynamic programming based approach is proposed for restoring images in a single-input/multiple-output multichannel framework. This algorithm exploits cross channel correlation for restoring images, leading to improved performance as compared to single channel restoration. The algorithm is applied to both synthetic as well as experimental data and initial results indicate the feasibility of the proposed algorithm.

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DO - 10.1109/ICASSP.2005.1415478

M3 - Conference contribution

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SN - 0780388747

SN - 9780780388741

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

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T2 - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05

Y2 - 18 March 2005 through 23 March 2005

ER -

Kumar M, Ramuhalli P. Dynamic programming based multichannel image restoration. In 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing. 2005. p. II609-II612. 1415478. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2005.1415478

Dynamic programming based multichannel image restoration

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