tailieunhanh - Báo cáo hóa học: " Review Article An Overview on Wavelets in Source Coding, Communications, and Networks"

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: Review Article An Overview on Wavelets in Source Coding, Communications, and Networks | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2007 Article ID 60539 27 pages doi 2007 60539 Review Article An Overview on Wavelets in Source Coding Communications and Networks James E. Fowler1 and Beatrice Pesquet-Popescu2 1 Department of Electrical Computer Engineering GeoResources Institute Mississippi State University . Box 9627 Mississippi State MS 39762 USA 2 Departement Traitement du Signal et des Images Ecole Nationale Supérieure des Telecommunications 46 rue Barrault 75634 Paris France Received 7 January 2007 Accepted 11 April 2007 Recommended by Jean-Luc Dugelay The use of wavelets in the broad areas of source coding communications and networks is surveyed. Specifically the impact of wavelets and wavelet theory in image coding video coding image interpolation image-adaptive lifting transforms multipledescription coding and joint source-channel coding is overviewed. Recent contributions in these areas arising in subsequent papers of the present special issue are described. Copyright 2007 J. E. Fowler and B. Pesquet-Popescu. 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 Wavelet transforms are arguably the most powerful and most widely-used tool to arise in the field of signal processing in the last several decades. Their inherent capacity for multiresolution representation akin to the operation of the human visual system motivated a quick adoption and widespread use of wavelets in image-processing applications. Indeed wavelet-based algorithms have dominated image compression for over a decade and wavelet-based source coding is now emerging in other domains. For example recent wavelet-based video coders exploit wavelet-based temporal filtering in conjunction with motion compensation to yield effective video compression with full .