Parallel implementation of wavelet decomposition/reconstruction algorithms

Hung-ju Lee; Jyh-Charn S. Liu; Andrew K. Chan; Charles K. Chui

doi:10.1117/12.170029

15 March 1994 Parallel implementation of wavelet decomposition/reconstruction algorithms

Hung-ju Lee, Jyh-Charn S. Liu, Andrew K. Chan, Charles K. Chui

Proceedings Volume 2242, Wavelet Applications; (1994) https://doi.org/10.1117/12.170029
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

The wavelet decomposition algorithm can be used to break down a signal into many components before processing. Single processor- based wavelet algorithms have been used in signal and image analysis with great success. However, serial algorithms are inadequate to meet the demand for speed of processing in many real-time applications. An alternative to this problem is to parallelize computing steps in the wavelet computation to meet the real time computing requirements. We have constructed parallel algorithms for wavelet decomposition and reconstruction, and have implemented them in a MasPar parallel computer. Preliminary results indicate a two-order increase in processing speed is achieved.

Citation Download Citation

Hung-ju Lee, Jyh-Charn S. Liu, Andrew K. Chan, and Charles K. Chui "Parallel implementation of wavelet decomposition/reconstruction algorithms", Proc. SPIE 2242, Wavelet Applications, (15 March 1994); https://doi.org/10.1117/12.170029

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