Prof. Dr. Ing. Pavel Zemčík

BAŘINA David a ZEMČÍK Pavel. Minimum Memory Vectorisation of Wavelet Lifting. In: Advanced Concepts for Intelligent Vision Systems (ACIVS). Poznan: Springer London, 2013, s. 91-101. ISBN 978-3-319-02894-1.
Jazyk publikace:angličtina
Název publikace:Minimum Memory Vectorisation of Wavelet Lifting
Název (cs):Vektorizace vlnkové transformace
Strany:91-101
Sborník:Advanced Concepts for Intelligent Vision Systems (ACIVS)
Konference:Advanced Concepts for Intelligent Vision Systems
Řada knih:Lecture Notes in Computer Science (LNCS) 8192
Místo vydání:Poznan, PL
Rok:2013
ISBN:978-3-319-02894-1
DOI:10.1007/978-3-319-02895-8_9
Vydavatel:Springer London
Soubory: 
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Klíčová slova
diskrétní vlnková transformace, schéma lifting, paralelizace, vektorizace, SIMD
Anotace
Předmětem článku je uvést novou vektorizaci implementace vlnkové transformace pomocí schématu lifting.
Abstrakt
With the start of the widespread use of discrete wavelet transform the need for its effective implementation is becoming increasingly more important. This work presents a novel approach to discrete wavelet transform through a new computational scheme of wavelet lifting. The presented approach is compared with two other. The results are obtained on a general purpose processor with 4-fold SIMD instruction set (such as Intel x86-64 processors). Using the frequently exploited CDF 9/7 wavelet, the achieved speedup is about 3× compared to naive implementation.
BibTeX:
@INPROCEEDINGS{
   author = {David Ba{\v{r}}ina and Pavel Zem{\v{c}}{\'{i}}k},
   title = {Minimum Memory Vectorisation of Wavelet Lifting},
   pages = {91--101},
   booktitle = {Advanced Concepts for Intelligent Vision Systems (ACIVS)},
   series = {Lecture Notes in Computer Science (LNCS) 8192},
   year = 2013,
   location = {Poznan, PL},
   publisher = {Springer London},
   ISBN = {978-3-319-02894-1},
   doi = {10.1007/978-3-319-02895-8_9},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.cs?id=10420}
}

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