TAILIEUCHUNG - Báo cáo sinh học: " Research Article Enhanced JPEG2000 Quality Scalability through Block-Wise Layer Truncation"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Research Article Enhanced JPEG2000 Quality Scalability through Block-Wise Layer Truncation | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 803542 11 pages doi 2010 803542 Research Article Enhanced JPEG2000 Quality Scalability through Block-Wise Layer Truncation Francesc Auli-Llinas Joan Serra-Sagrista and Joan Bartrina-Rapesta Department of Information and Communications Engineering Universitat Aut Onoma de Barcelona 08290 Cerdanyola del Valles Spain Correspondence should be addressed to Francesc Auli-Llinas fauli@ Received 1 December 2009 Revised 3 March 2010 Accepted 26 April 2010 Academic Editor Liang-Gee Chen Copyright 2010 Francesc Auli-Llinas 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. Quality scalability is an important feature of image and video coding systems. In JPEG2000 quality scalability is achieved through the use of quality layers that are formed in the encoder through rate-distortion optimization techniques. Quality layers provide optimal rate-distortion representations of the image when the codestream is transmitted and or decoded at layer boundaries. Nonetheless applications such as interactive image transmission video streaming or transcoding demand layer fragmentation. The common approach to truncate layers is to keep the initial prefix of the to-be-truncated layer which may greatly penalize the quality of decoded images especially when the layer allocation is inadequate. So far only one method has been proposed in the literature providing enhanced quality scalability for compressed JPEG2000 imagery. However that method provides quality scalability at the expense of high computational costs which prevents its application to the aforementioned applications. This paper introduces a Block-Wise Layer Truncation BWLT that requiring negligible computational costs enhances the quality scalability .

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