@inproceedings{d74227f8e94c43188f37bccceba3fd58,
title = "Parallel architectures for wavelet transforms",
abstract = "Discrete wavelet transforms have been shown to be a viable tool for multiscale image processing. However, their implementations on a sequential machine hinders their potential use for many applications because of their computational intensive nature. A parallelization of a 2D discrete wavelet transforms has been implemented on two novel parallel architectures: an array of processors with pipelined optical buses, and a 3D mesh architecture. The implementation of the DWTs on these architectures are analyzed. Then, their performance are shown to be optimal or near-optimal, and compare favorably with other related parallel architectures. The important consideration of implementing a DWT are shown to be the convolution and the multiscale processing. An array of processors with pipelined optical buses a 3-D mesh are shown to be quite suitable for these parallel data movement operations, and hence, seem to be promising architectures for DWTs applications.",
keywords = "Algorithms, Convolution, Parallel Processing, Wavelet Transforms, pipelining",
author = "Mounir Hamdi",
note = "Publisher Copyright: {\textcopyright} 1993 IEEE.; 1993 Computer Architectures for Machine Perception, CAMP 1993 ; Conference date: 15-12-1993 Through 17-12-1993",
year = "1993",
doi = "10.1109/CAMP.1993.622494",
language = "English",
series = "Proceedings - 1993 Computer Architectures for Machine Perception, CAMP 1993",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "376--384",
editor = "Davis, {Larry S.} and Bayoumi, {Magdy A.} and Valavanis, {Kimon P.}",
booktitle = "Proceedings - 1993 Computer Architectures for Machine Perception, CAMP 1993",
address = "United States",
}