2-step scalar deadzone quantization for bitplane image coding
Aulí Llinàs, Francesc (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)

Date:	2013
Abstract:	Modern lossy image coding systems generate a quality progressive codestream that, truncated at increasing rates, produces an image with decreasing distortion. Quality progressivity is commonly provided by an embedded quantizer that employs uniform scalar deadzone quantization (USDQ) together with a bitplane coding strategy. This paper introduces a 2-step scalar deadzone quantization (2SDQ) scheme that achieves same coding performance as that of USDQ while reducing the coding passes and the emitted symbols of the bitplane coding engine. This serves to reduce the computational costs of the codec and/or to code high dynamic range images. The main insights behind 2SDQ are the use of two quantization step sizes that approximate wavelet coefficients with more or less precision depending on their density, and a rate-distortion optimization technique that adjusts the distortion decreases produced when coding 2SDQ indexes. The integration of 2SDQ in current codecs is straightforward. The applicability and efficiency of 2SDQ are demonstrated within the framework of JPEG2000.
Grants:	Ministerio de Ciencia e Innovación 2010/RYC-05671 Ministerio de Economía y Competitividad TIN2012-38102-C03-03 Agència de Gestió d'Ajuts Universitaris i de Recerca 2009/SGR-1224
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Language:	Anglès
Document:	Article ; recerca ; Versió sotmesa a revisió
Subject:	2-step scalar deadzone quantization ; General embedded quantization ; Bitplane image coding ; JPEG2000
Published in:	IEEE transactions on image processing, Vol. 22, Issue 12 (Dec. 2013) , p. 4678-4688, ISSN 1057-7149

DOI: 10.1109/TIP.2013.2277801

Pre-print 12 p, 424.2 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