DocumentCode
1325527
Title
Noise estimation and filtering using block-based singular value decomposition
Author
Konstantinides, K. ; Natarajan, Balasubramaniam ; Yovanof, G.S.
Author_Institution
Hewlett-Packard Co., Palo Alto, CA
Volume
6
Issue
3
fYear
1997
fDate
3/1/1997 12:00:00 AM
Firstpage
479
Lastpage
483
Abstract
Preprocessing of image and video sequences with spatial filtering techniques usually improves the image quality and compressibility. We present a block-based, nonlinear filtering algorithm based on singular value decomposition and compression-based filtering. Experiments show that the proposed filter preserves edge details and can significantly improve the compression performance
Keywords
data compression; filtering theory; image sequences; noise; nonlinear filters; singular value decomposition; spatial filters; video signal processing; block based singular value decomposition; compression based filtering; compression performance; edge details; experiments; image compression; image quality; image sequences preprocessing; noise estimation; noise filtering; nonlinear filtering algorithm; spatial filtering; video sequences preprocessing; Additive noise; Filtering; Image coding; Image sequences; Matrix decomposition; Noise reduction; Nonlinear filters; Singular value decomposition; Video compression; Video sequences;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.557359
Filename
557359
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