Blind multichannel image restoration using oblique projections

Karim Abed Meraim; Henri Maitre; Pierre Duhamel

doi:10.1109/SAM.2002.1191013

Blind multichannel image restoration using oblique projections

Wirawan, Karim Abed Meraim, Henri Maitre, Pierre Duhamel

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

8 Citations (Scopus)

Abstract

We address the problem of image restoration in a multichannel system degraded by unknown blurs and additive noise. Instead of estimating first the channels or the restoration filters, we propose to estimate directly the input image by using a linear estimator in the form of oblique projections (OP) operator. In our OP method, the restoration is achieved by projecting the observed data onto the subspace spanned by the part of image weighted by corner coefficients of the channels while at the same time eliminating the interference part, arising from parts of image weighted by non-corner coefficients, along a different direction. To demonstrate the performance of the proposed method, we run simulaticons and compare the results with those of two similar methods.

Original language	English
Title of host publication	2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002
Publisher	IEEE Computer Society
Pages	125-129
Number of pages	5
ISBN (Electronic)	0780375513
DOIs	https://doi.org/10.1109/SAM.2002.1191013
Publication status	Published - 2002
Externally published	Yes
Event	IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002 - Rosslyn, United States Duration: 4 Aug 2002 → 6 Aug 2002

Publication series

Name	Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume	2002-January
ISSN (Electronic)	2151-870X

Conference

Conference	IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002
Country/Territory	United States
City	Rosslyn
Period	4/08/02 → 6/08/02

Access to Document

10.1109/SAM.2002.1191013

Cite this

Wirawan, Meraim, K. A., Maitre, H., & Duhamel, P. (2002). Blind multichannel image restoration using oblique projections. In 2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002 (pp. 125-129). Article 1191013 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop; Vol. 2002-January). IEEE Computer Society. https://doi.org/10.1109/SAM.2002.1191013

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title = "Blind multichannel image restoration using oblique projections",

abstract = "We address the problem of image restoration in a multichannel system degraded by unknown blurs and additive noise. Instead of estimating first the channels or the restoration filters, we propose to estimate directly the input image by using a linear estimator in the form of oblique projections (OP) operator. In our OP method, the restoration is achieved by projecting the observed data onto the subspace spanned by the part of image weighted by corner coefficients of the channels while at the same time eliminating the interference part, arising from parts of image weighted by non-corner coefficients, along a different direction. To demonstrate the performance of the proposed method, we run simulaticons and compare the results with those of two similar methods.",

author = "Wirawan and Meraim, {Karim Abed} and Henri Maitre and Pierre Duhamel",

note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002 ; Conference date: 04-08-2002 Through 06-08-2002",

year = "2002",

doi = "10.1109/SAM.2002.1191013",

language = "English",

series = "Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop",

publisher = "IEEE Computer Society",

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}

Wirawan, Meraim, KA, Maitre, H & Duhamel, P 2002, Blind multichannel image restoration using oblique projections. in 2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002., 1191013, Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, vol. 2002-January, IEEE Computer Society, pp. 125-129, IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002, Rosslyn, United States, 4/08/02. https://doi.org/10.1109/SAM.2002.1191013

Blind multichannel image restoration using oblique projections. / Wirawan; Meraim, Karim Abed; Maitre, Henri et al.
2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002. IEEE Computer Society, 2002. p. 125-129 1191013 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop; Vol. 2002-January).

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

TY - GEN

T1 - Blind multichannel image restoration using oblique projections

AU - Wirawan,

AU - Meraim, Karim Abed

AU - Maitre, Henri

AU - Duhamel, Pierre

PY - 2002

Y1 - 2002

N2 - We address the problem of image restoration in a multichannel system degraded by unknown blurs and additive noise. Instead of estimating first the channels or the restoration filters, we propose to estimate directly the input image by using a linear estimator in the form of oblique projections (OP) operator. In our OP method, the restoration is achieved by projecting the observed data onto the subspace spanned by the part of image weighted by corner coefficients of the channels while at the same time eliminating the interference part, arising from parts of image weighted by non-corner coefficients, along a different direction. To demonstrate the performance of the proposed method, we run simulaticons and compare the results with those of two similar methods.

AB - We address the problem of image restoration in a multichannel system degraded by unknown blurs and additive noise. Instead of estimating first the channels or the restoration filters, we propose to estimate directly the input image by using a linear estimator in the form of oblique projections (OP) operator. In our OP method, the restoration is achieved by projecting the observed data onto the subspace spanned by the part of image weighted by corner coefficients of the channels while at the same time eliminating the interference part, arising from parts of image weighted by non-corner coefficients, along a different direction. To demonstrate the performance of the proposed method, we run simulaticons and compare the results with those of two similar methods.

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M3 - Conference contribution

AN - SCOPUS:41849128446

T3 - Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop

SP - 125

EP - 129

BT - 2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002

PB - IEEE Computer Society

T2 - IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002

Y2 - 4 August 2002 through 6 August 2002

ER -

Blind multichannel image restoration using oblique projections

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