Conference paper

BAŘINA David, KULA Michal, MATÝŠEK Michal and ZEMČÍK Pavel. Accelerating Discrete Wavelet Transforms on GPUs. In: International Conference on Image Processing (ICIP). Beijing: IEEE Signal Processing Society, 2017, pp. 2707-2710. ISBN 978-1-5090-2175-8.
Publication language:english
Original title:Accelerating Discrete Wavelet Transforms on GPUs
Title (cs):Akcelerace diskrétní vlnkové transformace na GPU
Pages:2707-2710
Proceedings:International Conference on Image Processing (ICIP)
Conference:International Conference on Image Processing (ICIP) 2017
Place:Beijing, CN
Year:2017
ISBN:978-1-5090-2175-8
DOI:10.1109/ICIP.2017.8296774
Publisher:IEEE Signal Processing Society
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Keywords
discrete wavelet transform, image processing, synchronization, graphics processors
Annotation
The paper presents new non-separable scheme for computation of the discrete wavelet transform on graphics cards.
Abstract
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?id=11443}
}

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