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Pàgina inicial > Articles > Articles publicats > Cell-based 2-step scalar deadzone quantization for high bit-depth hyperspectral image coding |
Data: | 2015 |
Resum: | 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. |
Ajuts: | 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 |
Drets: | Tots els drets reservats. |
Llengua: | Anglès |
Document: | Article ; recerca ; Versió sotmesa a revisió |
Matèria: | Embedded quantization ; High bit-depth images ; JPEG2000 ; Two-step scalar deadzone quantization (2SDQ) |
Publicat a: | IEEE geoscience and remote sensing letter, Vol. 12 no. 9 (September 2015) p. 1893-1897 |
Pre-print 5 p, 974.5 KB |