Efficient implementation of a set of lifting based wavelet filters

K. Andra, Chaitali Chakrabarti, T. Acharya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Lifting based wavelet transform implementation not only helps in reducing the number of computations but also achieves lossy to lossless performance with finite precision. In this paper we first do a precision analysis for the set of seven filters proposed by the JPEG2000 verification model. We determine the precision required to implement the filters using fixed point 2's complement arithmetic for lossless as well as lossy coding. Next we propose a unified architecture for implementing this set of filters for both the forward and the inverse transform.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Pages1101-1104
Number of pages4
Volume2
StatePublished - 2001
Event2001 IEEE Interntional Conference on Acoustics, Speech, and Signal Processing - Salt Lake, UT, United States
Duration: May 7 2001May 11 2001

Other

Other2001 IEEE Interntional Conference on Acoustics, Speech, and Signal Processing
CountryUnited States
CitySalt Lake, UT
Period5/7/015/11/01

    Fingerprint

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Acoustics and Ultrasonics

Cite this

Andra, K., Chakrabarti, C., & Acharya, T. (2001). Efficient implementation of a set of lifting based wavelet filters. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 2, pp. 1101-1104)