DocumentCode
3547819
Title
Multichannel SVD-based image de-noising
Author
Wongsawat, Y. ; Rao, K.R. ; Oraintara, S.
Author_Institution
Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA
fYear
2005
fDate
23-26 May 2005
Firstpage
5990
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 a data compression technique.
Keywords
decorrelation; discrete cosine transforms; eigenvalues and eigenfunctions; image denoising; singular value decomposition; IntDCT; SVD-based image de-noising; additive noise reduction; data compression; eigenvalue truncation; integer discrete cosine transform; multichannel image de-noising; noisy image filtering; subband image decorrelation; Additive noise; Discrete cosine transforms; Eigenvalues and eigenfunctions; Filters; Image coding; Image denoising; Matrix decomposition; Noise reduction; Statistics; Video compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN
0-7803-8834-8
Type
conf
DOI
10.1109/ISCAS.2005.1466004
Filename
1466004
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