Publication Details
Accelerating Discrete Wavelet Transforms on GPUs
Kula Michal, Ing., Ph.D. (DCGM)
Matýšek Michal, Ing. (DCGM)
Zemčík Pavel, prof. Dr. Ing., dr. h. c. (DCGM)
discrete wavelet transform, image processing, synchronization, graphics processors
The paper presents new non-separable scheme for computation of the discrete wavelet transform on graphics cards.
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.
@inproceedings{BUT144439,
author="David {Bařina} and Michal {Kula} and Michal {Matýšek} and Pavel {Zemčík}",
title="Accelerating Discrete Wavelet Transforms on GPUs",
booktitle="International Conference on Image Processing (ICIP)",
year="2017",
pages="2707--2710",
publisher="IEEE Signal Processing Society",
address="Beijing",
doi="10.1109/ICIP.2017.8296774",
isbn="978-1-5090-2175-8",
url="https://www.fit.vut.cz/research/publication/11443/"
}