Cell-based 2-step scalar deadzone quantization for high bit-depth hyperspectral image coding
Bartrina Rapesta, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Aulí Llinàs, Francesc (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)

Date:	2015
Abstract:	Remote sensing images often need to be coded and/or transmitted with constrained computational resources. Among other features, such images commonly have high spatial, spectral, and bit-depth resolution, which may render difficult their handling. This letter introduces an embedded quantization scheme based on two-step scalar deadzone quantization (2SDQ) that enhances the quality of transmitted images when coded with a constrained number of bits. The proposed scheme is devised for use in JPEG2000. It is named cell-based 2SDQ since it uses cells, i. e. , small sets of wavelet coefficients within the codeblocks defined by JPEG2000. Cells permit a finer discrimination of coefficients in which to apply the proposed quantizer. Experimental results indicate that the proposed scheme is especially beneficial for high bit-depth hyperspectral images.
Grants:	Ministerio de Economía y Competitividad RYC-2010-05671 Ministerio de Economía y Competitividad TIN2012-38102-C03-03 Agència de Gestió d'Ajuts Universitaris i de Recerca 2014/SGR-691
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Language:	Anglès
Document:	Article ; recerca ; Versió sotmesa a revisió
Subject:	Embedded quantization ; High bit-depth images ; JPEG2000 ; Two-step scalar deadzone quantization (2SDQ)
Published in:	IEEE geoscience and remote sensing letter, Vol. 12 no. 9 (September 2015) p. 1893-1897

DOI: 10.1109/LGRS.2015.2436438

Pre-print 5 p, 974.5 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