COPERM: transform-domain energy compaction by optimal permutation

Author

Sidiropoulos, Nicholas D. ; Pattichis, Marios S. ; Bovik, Alan C. ; Havlicek, John W.

Author_Institution

Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA

Volume

47

Issue

6

fYear

1999

fDate

6/1/1999 12:00:00 AM

Firstpage

1679

Lastpage

1688

Abstract

Compaction by optimal permutation (COPERM) is a tool for transform domain energy compaction of broadband signals, whose foundation is a simple but powerful idea: any signal can be transformed to resemble a more desirable (e.g., from a transform-domain compaction viewpoint) signal from a class of “target” signals (e.g., DCT basis functions) by means of a suitable permutation of its samples. One application of transform-domain energy compaction is in lossy compression. We pursue one possible thread in detail and demonstrate some interesting broadband image compression results

Keywords

data compression; discrete Fourier transforms; discrete cosine transforms; image coding; image sampling; transform coding; COPERM; DCT basis functions; DFT; broadband image compression results; broadband signals; lossy compression; optimal permutation; samples permutation; transform domain energy compaction; transform-domain energy compaction; Compaction; Costs; Discrete cosine transforms; Image coding; Least squares methods; Modulation coding; Narrowband; Phase change materials; Pulse modulation; Yarn;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.765139

Filename

765139