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
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;
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
DOI :
10.1109/ISCAS.2005.1466004
