Multichannel SVD-based image de-noising

Y. Wongsawat; K. R. Rao; S. Oraintara

doi:10.1109/ISCAS.2005.1466004

Multichannel SVD-based image de-noising

Y. Wongsawat
, K. R. Rao
, S. Oraintara

University of Texas at Arlington College of Engineering

Research output: Contribution to journal › Conference article › peer-review

25 Citations (Scopus)

Abstract

In this paper, we propose a multichannel SVDbased image de-noising algorithm. The IntDCT is employed to decorrelate the image into sixteen subbands. The SVD is then applied to each of the subbands and the additive noise is reduced by truncating the eigenvalues. The simulation results illustrate that this technique can effectively filter the noisy images without assuming any statistics of the image by using data compression technique.

Original language	English
Article number	1466004
Pages (from-to)	5990-5993
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
DOIs	https://doi.org/10.1109/ISCAS.2005.1466004
Publication status	Published - 2005
Externally published	Yes
Event	IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan Duration: 23 May 2005 → 26 May 2005

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10.1109/ISCAS.2005.1466004

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title = "Multichannel SVD-based image de-noising",

abstract = "In this paper, we propose a multichannel SVDbased image de-noising algorithm. The IntDCT is employed to decorrelate the image into sixteen subbands. The SVD is then applied to each of the subbands and the additive noise is reduced by truncating the eigenvalues. The simulation results illustrate that this technique can effectively filter the noisy images without assuming any statistics of the image by using data compression technique.",

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year = "2005",

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

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AU - Wongsawat, Y.

AU - Rao, K. R.

AU - Oraintara, S.

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N2 - In this paper, we propose a multichannel SVDbased image de-noising algorithm. The IntDCT is employed to decorrelate the image into sixteen subbands. The SVD is then applied to each of the subbands and the additive noise is reduced by truncating the eigenvalues. The simulation results illustrate that this technique can effectively filter the noisy images without assuming any statistics of the image by using data compression technique.

AB - In this paper, we propose a multichannel SVDbased image de-noising algorithm. The IntDCT is employed to decorrelate the image into sixteen subbands. The SVD is then applied to each of the subbands and the additive noise is reduced by truncating the eigenvalues. The simulation results illustrate that this technique can effectively filter the noisy images without assuming any statistics of the image by using data compression technique.

UR - https://www.scopus.com/pages/publications/67649114527

U2 - 10.1109/ISCAS.2005.1466004

DO - 10.1109/ISCAS.2005.1466004

M3 - Conference article

AN - SCOPUS:67649114527

SN - 0271-4310

SP - 5990

EP - 5993

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

M1 - 1466004

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

Y2 - 23 May 2005 through 26 May 2005

ER -

Multichannel SVD-based image de-noising

Abstract

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