Application of SVD based spatial filtering to video sequences

Author

Konstantinides, Konstantinos ; Yovanof, Gregory S.

Author_Institution

Hewlett-Packard Co., Palo Alto, CA, USA

Volume

4

fYear

1995

fDate

9-12 May 1995

Firstpage

2193

Abstract

Video capture devices, such as CCD cameras, are a significant source of noise in image sequences. Preprocessing of video sequences with spatial filtering techniques usually improves their compressibility. We present a block-based, non-linear filtering algorithm based on the theories of SVD and compression-based filtering. A novel noise estimation algorithm allows us to operate on the input data without any prior knowledge of either the noise or signal characteristics. Experiments with real video sequences and an MPEG codec have shown that SVD based filters preserve edge details and can significantly improve nearly-lossless compression ratios by 15%

Keywords

data compression; estimation theory; filtering theory; image sequences; noise; nonlinear filters; singular value decomposition; spatial filters; video codecs; video coding; CCD cameras; MPEG codec; SVD; block-based nonlinear filtering algorithm; compression-based filtering; edge details preservation; experiments; image sequences; input data; nearly-lossless compression ratios; noise; noise estimation algorithm; preprocessing; signal characteristics; spatial filtering; video capture devices; video sequences; Charge coupled devices; Charge-coupled image sensors; Codecs; Filtering algorithms; Filtering theory; Image coding; Image sequences; Transform coding; Video compression; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.479911

Filename

479911