tailieunhanh - Báo cáo hóa học: " Research Article Development and Evaluation of High-Performance Decorrelation Algorithms for the Nonalternating 3D Wavelet Transform"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Development and Evaluation of High-Performance Decorrelation Algorithms for the Nonalternating 3D Wavelet Transform | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 69384 11 pages doi 2007 69384 Research Article Development and Evaluation of High-Performance Decorrelation Algorithms for the Nonalternating 3D Wavelet Transform E. Moyano-Avila 1 F. J. Quiles 2 and L. Orozco-Barbosa2 1 Departamento de Tecnologias y Sistemas de Information Universidad de Castilla-La Mancha 45071 Toledo Spain 2 Departamento de Sistemas Tecnologias Universidad de Castilla-La Mancha 02071 Albacete Spain Received 2 September 2006 Revised 30 December 2006 Accepted 27 March 2007 Recommended by Erwin De Kock We introduce and evaluate the implementations of three parallel video-sequences decorrelation algorithms. The proposed algorithms are based on the nonalternating classic three-dimensional wavelet transform 3D-WT . The parallel implementations of the algorithms are developed and tested on a shared memory system an SGI origin 3800 supercomputer making use of a messagepassing paradigm. We evaluate and analyze the performance of the implementations in terms of the response time and speed-up factor by varying the number of processors and various video coding parameters. The key points enabling the development of highly efficient implementations rely on the partitioning of the video sequences into groups of frames and a workload distribution strategy supplemented by the use of parallel I O primitives for better exploiting the inherent features of the application and computing platform. We also evaluate the effectiveness of our algorithms in terms of the first-order entropy. Copyright 2007 E. Moyano-Avila et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION In recent years the rapid growth in the field of medical imaging has enabled the development of several new classes