TY - GEN
T1 - The effect of image rotation on UTV decomposition
AU - Wongsawat, Yodehanan
PY - 2008
Y1 - 2008
N2 - Since the singular value decomposition (SVD) consumes high computational complexity on updating its eigenvectors and eigenvalues when new data are included, an alternate rank-revealing orthogonal decomposition that can eliminate this problem such as the UTV decomposition is one of our particular interest. This paper presents a study on directions of principal structures of the images and their effects when the UTV decomposition is employed. The relationship between the UTV decomposition and SVD is also explored. The proposed image denoising algorithm illustrates that the UTV decomposition can efficiently decompose images with vertical/horizontal structures into only a few component as well as the SVD.
AB - Since the singular value decomposition (SVD) consumes high computational complexity on updating its eigenvectors and eigenvalues when new data are included, an alternate rank-revealing orthogonal decomposition that can eliminate this problem such as the UTV decomposition is one of our particular interest. This paper presents a study on directions of principal structures of the images and their effects when the UTV decomposition is employed. The relationship between the UTV decomposition and SVD is also explored. The proposed image denoising algorithm illustrates that the UTV decomposition can efficiently decompose images with vertical/horizontal structures into only a few component as well as the SVD.
UR - https://www.scopus.com/pages/publications/51849119357
U2 - 10.1109/ICALIP.2008.4590114
DO - 10.1109/ICALIP.2008.4590114
M3 - Conference contribution
AN - SCOPUS:51849119357
SN - 9781424417230
T3 - ICALIP 2008 - 2008 International Conference on Audio, Language and Image Processing, Proceedings
SP - 1467
EP - 1470
BT - ICALIP 2008 - 2008 International Conference on Audio, Language and Image Processing, Proceedings
T2 - ICALIP 2008 - 2008 International Conference on Audio, Language and Image Processing
Y2 - 7 July 2008 through 9 July 2008
ER -