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Journal of Real-Time Image Processing

, Volume 15, Issue 2, pp 349–361 | Cite as

Vectorization and parallelization of 2-D wavelet lifting

  • David BarinaEmail author
  • Pavel Zemcik
Original Research Paper

Abstract

With the start of the widespread use of discrete wavelet transform in image processing, the need for its efficient implementation is becoming increasingly more important. This work presents several novel SIMD-vectorized algorithms of 2-D discrete wavelet transform, using a lifting scheme. At the beginning, a stand-alone core of an already known single-loop approach is extracted. This core is further simplified by an appropriate reorganization of operations. Furthermore, the influence of the CPU cache on a 2-D processing order is examined. Finally, SIMD-vectorizations and parallelizations of the proposed approaches are evaluated. The best of the proposed algorithms scale almost linearly with the number of threads. For all of the platforms used in the tests, these algorithms are significantly faster than other known methods, as shown in the experimental sections of the paper.

Keywords

Discrete wavelet transforms Image processing 

Notes

Acknowledgments

This work has been supported by the EU FP7-ARTEMIS project IMPART (Grant No. 316564), the national TAČR project RODOS (no. TE01020155) and the IT4Innovations Centre of Excellence (no. CZ.1.05/1.1.00/02.0070).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Department of Computer Graphics and Multimedia, Faculty of Information TechnologyBrno University of TechnologyBrnoCzech Republic

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