Publication detail

Minimum Memory Vectorisation of Wavelet Lifting

BAŘINA, D. ZEMČÍK, P.

Original Title

Minimum Memory Vectorisation of Wavelet Lifting

Type

conference paper

Language

English

Original Abstract

The subject of this paper is to introduce novel vectorisation of discrete wavelet transform implementation using lifting scheme.

Keywords

discrete wavelet transform, lifting scheme, parallelization, vectorisation, SIMD

Authors

BAŘINA, D.; ZEMČÍK, P.

RIV year

2013

Released

28. 10. 2013

Publisher

Springer London

Location

Poznan

ISBN

978-3-319-02894-1

Book

Advanced Concepts for Intelligent Vision Systems (ACIVS)

Edition

Lecture Notes in Computer Science (LNCS) 8192

Pages from

91

Pages to

101

Pages count

11

URL

https://www.fit.vut.cz/research/publication/10420/

BibTex

@inproceedings{BUT103548,
  author="David {Bařina} and Pavel {Zemčík}",
  title="Minimum Memory Vectorisation of Wavelet Lifting",
  booktitle="Advanced Concepts for Intelligent Vision Systems (ACIVS)",
  year="2013",
  series="Lecture Notes in Computer Science (LNCS) 8192",
  volume="8192",
  pages="91--101",
  publisher="Springer London",
  address="Poznan",
  doi="10.1007/978-3-319-02895-8\{_}9",
  isbn="978-3-319-02894-1",
  url="https://www.fit.vut.cz/research/publication/10420/"
}