Self-Conducted Allocation Strategy of Quality Layers for JPEG2000

The rate-distortion optimality of a JPEG2000 codestream is determined by the density and distribution of the quality layers it contains. The allocation of quality layers is, therefore, a fundamental issue for JPEG2000 encoders, which commonly distribute layers logarithmically or uniformly spaced in...

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Main Authors: Joan Bartrina-Rapesta, Joan Serra-Sagristà, Francesc Aulí-Llinàs
Format: Article
Language:English
Published: SpringerOpen 2009-02-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2008/728794
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spelling doaj-6cd9f927124348cbb842272f7c2861dd2020-11-25T00:25:19ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802009-02-01200810.1155/2008/728794Self-Conducted Allocation Strategy of Quality Layers for JPEG2000Joan Bartrina-RapestaJoan Serra-SagristàFrancesc Aulí-LlinàsThe rate-distortion optimality of a JPEG2000 codestream is determined by the density and distribution of the quality layers it contains. The allocation of quality layers is, therefore, a fundamental issue for JPEG2000 encoders, which commonly distribute layers logarithmically or uniformly spaced in terms of bitrate, and use a rate-distortion optimization method to optimally form them. This work introduces an allocation strategy based on the hypothesis that the fractional bitplane coder of JPEG2000 already generates optimal truncation points for the overall optimization of the image. Through these overall optimal truncation points, the proposed strategy is able to allocate quality layers without employing rate-distortion optimization techniques, to self-determine the density and distribution of quality layers, and to reduce the computational load of the encoder. Experimental results suggest that the proposed method constructs near-optimal codestreams in the rate-distortion sense, achieving a similar coding performance as compared with the common PCRD-based approach.http://dx.doi.org/10.1155/2008/728794
collection DOAJ
language English
format Article
sources DOAJ
author Joan Bartrina-Rapesta
Joan Serra-Sagristà
Francesc Aulí-Llinàs
spellingShingle Joan Bartrina-Rapesta
Joan Serra-Sagristà
Francesc Aulí-Llinàs
Self-Conducted Allocation Strategy of Quality Layers for JPEG2000
EURASIP Journal on Advances in Signal Processing
author_facet Joan Bartrina-Rapesta
Joan Serra-Sagristà
Francesc Aulí-Llinàs
author_sort Joan Bartrina-Rapesta
title Self-Conducted Allocation Strategy of Quality Layers for JPEG2000
title_short Self-Conducted Allocation Strategy of Quality Layers for JPEG2000
title_full Self-Conducted Allocation Strategy of Quality Layers for JPEG2000
title_fullStr Self-Conducted Allocation Strategy of Quality Layers for JPEG2000
title_full_unstemmed Self-Conducted Allocation Strategy of Quality Layers for JPEG2000
title_sort self-conducted allocation strategy of quality layers for jpeg2000
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2009-02-01
description The rate-distortion optimality of a JPEG2000 codestream is determined by the density and distribution of the quality layers it contains. The allocation of quality layers is, therefore, a fundamental issue for JPEG2000 encoders, which commonly distribute layers logarithmically or uniformly spaced in terms of bitrate, and use a rate-distortion optimization method to optimally form them. This work introduces an allocation strategy based on the hypothesis that the fractional bitplane coder of JPEG2000 already generates optimal truncation points for the overall optimization of the image. Through these overall optimal truncation points, the proposed strategy is able to allocate quality layers without employing rate-distortion optimization techniques, to self-determine the density and distribution of quality layers, and to reduce the computational load of the encoder. Experimental results suggest that the proposed method constructs near-optimal codestreams in the rate-distortion sense, achieving a similar coding performance as compared with the common PCRD-based approach.
url http://dx.doi.org/10.1155/2008/728794
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