General embedded quantization for wavelet-based lossy image coding
Aulí Llinàs, Francesc (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)

Date:	2013
Abstract:	Embedded quantization is a mechanism employed by many lossy image codecs to progressively refine the distortion of a (transformed) image. Currently, the most common approach to do so in the context of wavelet-based image coding is to couple uniform scalar deadzone quantization (USDQ) with bitplane coding (BPC). USDQ+BPC is convenient for its practicality and has proved to achieve competitive coding performance. But the quantizer established by this scheme does not allow major variations. This paper introduces a multistage quantization scheme named general embedded quantization (GEQ) that provides more flexibility to the quantizer. GEQ schemes can be devised for specific decoding rates achieving optimal coding performance. Practical approaches of GEQ schemes achieve coding performance similar to that of USDQ+BPC while requiring fewer quantization stages. The performance achieved by GEQ is evaluated in this paper through experimental results carried out in the framework of modern image coding systems.
Grants:	Ministerio de Ciencia e Innovación RYC-2010-05671 Ministerio de Ciencia e Innovación TIN-2009-14426-C02-01 Ministerio de Economía y Competitividad TIN2012-38102-C03-03 Agència de Gestió d'Ajuts Universitaris i de Recerca 2009/SGR-1224
Rights:	Tots els drets reservats.
Language:	Anglès
Document:	Article ; recerca ; Versió sotmesa a revisió
Subject:	General embedded quantization ; Lossy image coding ; JPEG 2000
Published in:	IEEE Transactions on Signal Processing, Vol. 61, Issue 6 (Mars 2013) , p. 1561-1574, ISSN 1053-587X

DOI: 10.1109/TSP.2012.2236323

Pre-print 15 p, 793.9 KB

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Research literature > UAB research groups literature > Research Centres and Groups (research output) > Engineering > Group on Interactive Coding of Images (GICI)
Articles > Research articles
Articles > Published articles