DocumentCode
1856271
Title
Is the SVD-based low-rank approximation optimal?
Author
Lu, W.-S.
Author_Institution
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
Volume
1
fYear
1995
fDate
13-16 Aug 1995
Firstpage
470
Abstract
It is well known that the singular value decomposition (SVD) offers an optimal approximation in F-norm for a given image. In this paper, we show that using a 2D-to-4D mapping in conjunction with optimal 4-D low rank approximation, improved compression rate can be achieved compared to that obtained from the conventional (2-D) SVD approach
Keywords
data compression; image coding; singular value decomposition; 2D-to-4D mapping; SVD-based low-rank approximation; compression rate improvement; image compression; optimal approximation; singular value decomposition; Bit rate; Data compression; Digital signal processing; Discrete Fourier transforms; Discrete cosine transforms; Discrete transforms; Image coding; Pixel; Signal representations; Singular value decomposition; Two dimensional displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on
Conference_Location
Rio de Janeiro
Print_ISBN
0-7803-2972-4
Type
conf
DOI
10.1109/MWSCAS.1995.504478
Filename
504478
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