Článek ve sborníku konference

BAŘINA David, KULA Michal, MATÝŠEK Michal a ZEMČÍK Pavel. Accelerating Discrete Wavelet Transforms on GPUs. In: International Conference on Image Processing (ICIP). Beijing: IEEE Signal Processing Society, 2017, s. 2707-2710. ISBN 978-1-5090-2175-8.
Jazyk publikace:angličtina
Název publikace:Accelerating Discrete Wavelet Transforms on GPUs
Název (cs):Akcelerace diskrétní vlnkové transformace na GPU
Strany:2707-2710
Sborník:International Conference on Image Processing (ICIP)
Konference:International Conference on Image Processing (ICIP) 2017
Místo vydání:Beijing, CN
Rok:2017
ISBN:978-1-5090-2175-8
DOI:10.1109/ICIP.2017.8296774
Vydavatel:IEEE Signal Processing Society
Soubory: 
+Typ Jméno Název Vel. Poslední změna
iconpreprint.pdfpreprint191 KB2017-05-10 13:04:48
^ Vybrat vše
S vybranými:
Klíčová slova
diskrétní vlnková transformace, zpracování obrazu, synchronizace, grafické procesory
Anotace
Publikace prezentuje nové neseparabilní schéma pro výpočet diskrétní vlnkové transformace na grafických kartách.
Abstrakt
The two-dimensional discrete wavelet transform has a huge number of applications in image-processing techniques. Until now, several papers compared the performance of such transform on graphics processing units (GPUs). However, all of them only dealt with lifting and convolution computation schemes. In this paper, we show that corresponding horizontal and vertical lifting parts of the lifting scheme can be merged into non-separable lifting units, which halves the number of steps. We also discuss an optimization strategy leading to a reduction in the number of arithmetic operations. The schemes were assessed using the OpenCL and pixel shaders. The proposed non-separable lifting scheme outperforms the existing schemes in many cases, irrespective of its higher complexity.
BibTeX:
@INPROCEEDINGS{
   author = {David Ba{\v{r}}ina and Michal Kula and Michal
	Mat{\'{y}}{\v{s}}ek and Pavel Zem{\v{c}}{\'{i}}k},
   title = {Accelerating Discrete Wavelet Transforms on GPUs},
   pages = {2707--2710},
   booktitle = {International Conference on Image Processing (ICIP)},
   year = 2017,
   location = {Beijing, CN},
   publisher = {IEEE Signal Processing Society},
   ISBN = {978-1-5090-2175-8},
   doi = {10.1109/ICIP.2017.8296774},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.cs?id=11443}
}

Vaše IPv4 adresa: 3.81.28.94
Přepnout na https