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 Scalable Multiple-Description Image Coding Based on Embedded Quantization | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2007 Article ID 81813 11 pages doi 2007 81813 Research Article Scalable Multiple-Description Image Coding Based on Embedded Quantization Augustin I. Gavrilescu 1 Fabio Verdicchio 1 Adrian Munteanu 1 Ingrid Moerman 2 Jan Cornelis 1 and Peter Schelkens1 1 Department of Electronics and Informatics ETRO Vrije Universiteit Brussel VUB and Interdisciplinary Institute for Broadband Technology IBBT Pleinlaan 2 1050 Brussels Belgium 2 Department of Information Technology INTEC Universiteit Gent UGent and Interdisciplinary Institute for Broadband Technology IBBT 41 9000 Ghent Belgium Received 14 August 2006 Revised 14 December 2006 Accepted 5 January 2007 Recommended by Beatrice Pesquet-Popescu Scalable multiple-description MD coding allows for fine-grain rate adaptation as well as robust coding of the input source. In this paper we present a new approach for scalable MD coding of images which couples the multiresolution nature of the wavelet transform with the robustness and scalability features provided by embedded multiple-description scalar quantization EMDSQ . Two coding systems are proposed that rely on quadtree coding to compress the side descriptions produced by EMDSQ. The proposed systems are capable of dynamically adapting the bitrate to the available bandwidth while providing robustness to data losses. Experiments performed under different simulated network conditions demonstrate the effectiveness of the proposed scalable MD approach for image streaming over error-prone channels. Copyright 2007 Augustin I. Gavrilescu 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 Performing compression is of paramount importance in modern multimedia systems in order to improve the .