Multichannel SVD-based image de-noising

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

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 › Article › peer-review

Abstract

In this paper, we propose a multichannel SVD-based 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
Pages (from-to)	319-326
Number of pages	8
Journal	WSEAS Transactions on Information Science and Applications
Volume	2
Issue number	3
Publication status	Published - Mar 2005
Externally published	Yes

Keywords

De-noising
Image restoration
Integer discrete cosine transform
JPEG-LS
Knee point
Preprocessing
Singular value decomposition

Cite this

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

abstract = "In this paper, we propose a multichannel SVD-based 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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AU - Rao, K. R.

AU - Oraintara, S.

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N2 - In this paper, we propose a multichannel SVD-based 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 SVD-based 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.

KW - De-noising

KW - Image restoration

KW - Integer discrete cosine transform

KW - JPEG-LS

KW - Knee point

KW - Preprocessing

KW - Singular value decomposition

UR - https://www.scopus.com/pages/publications/18844397021

M3 - Article

AN - SCOPUS:18844397021

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JO - WSEAS Transactions on Information Science and Applications

JF - WSEAS Transactions on Information Science and Applications

IS - 3

ER -

Multichannel SVD-based image de-noising

Abstract

Keywords

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