Publication detail

The Lossless Compression by Polyphase Filtering

VRÁNA, J., FILKA, M.

Original Title

The Lossless Compression by Polyphase Filtering

Type

conference paper

Language

English

Original Abstract

In this paper a dual channel mirrored filter bank and condition for their perfect reconstruction are described. The filter bank may be used in wavelet transform computing. Description of wavelet transform computing algorithm named lifting follow. Lifting algorithm is faster method of wavelet transform computing. The basis of this algorithm is in replacing all filters by their polyphase equivalents. The polyphase equivalents are transformed to individual lifting steps. A condition, which the individual lifting steps must fulfill, are obtained by analysis of this structure. The conditions are computed for one dual lifting and one primal lifting and two dual lifting and one primal lifting. The wavelets are simply computed from the conditions. If those wavelets are used in filter bank then the filter bank is filter bank with perfect reconstruction. A wavelet can be designed from these conditions and it can be adapted and used for lossless data compression.

Key words in English

wavelet transform, compression, lifting

Authors

VRÁNA, J., FILKA, M.

RIV year

2006

Released

1. 1. 2006

Publisher

TU-Sofia

Location

Sofia

ISBN

9544385177

Book

Electronics ET'2005

Pages from

31

Pages to

36

Pages count

6

BibTex

@inproceedings{BUT21155,
  author="Jaroslav {Vrána} and Miloslav {Filka}",
  title="The Lossless Compression by Polyphase Filtering",
  booktitle="Electronics ET'2005",
  year="2006",
  pages="6",
  publisher="TU-Sofia",
  address="Sofia",
  isbn="9544385177"
}