A PCA-FVQ and 3D-SPECK combined hierarchical coding method for spectral imagery - 文章详情页

作者：

Yue, Yunfeng (Yue, Yunfeng.) | Zhuo, Li (Zhuo, Li.) | Wang, Suyu (Wang, Suyu.) | Zhao, Yingdi (Zhao, Yingdi.) | Shi, Chen (Shi, Chen.)

收录：

EI Scopus

摘要：

In　this　paper,　a　hierarchical　spectral　imagery　coding　method　has　been　proposed.　The　spectral　imagery　is　encoded　into　two　layers,　i.e.　base　layer　and　enhancement　layer.　Firstly,　an　PCA-FVQ　(Principal　Component　Analysis　based　Fast　Vector　Quantization)　coding　method　has　been　proposed　to　generate　the　base　layer　bitstream,　which　can　be　decoded　independently　to　provide　a　basic　image　quality.　Then　the　differential　data　between　the　original　image　and　the　reconstructed　image　decoded　from　the　base　layer　bitstream　is　encoded　by　3D-SPECK　algorithm　to　generate　the　enhancement　layer　bitstream　which　can　provide　an　enhanced　image　quality.　The　experimental　results　show　that,　under　the　same　coding　conditions,　compared　with　3D-SPECK　algorithm,　the　proposed　method　has　achieved　1-15dB　higher　image　quality　improvement　in　terms　of　SNR　(Signal　to　Noise)　while　the　compression　ratio　can　be　controlled　precisely.　©　2012　IEEE.

关键词：

Binary sequences Decoding Image coding Image enhancement Image quality Principal component analysis Quality control Signal to noise ratio Spectroscopy

作者机构：

[ 1 ] [Yue, Yunfeng]Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China
[ 2 ] [Zhuo, Li]Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China
[ 3 ] [Wang, Suyu]Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China
[ 4 ] [Zhao, Yingdi]Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China
[ 5 ] [Shi, Chen]Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China

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yywhhyyfyh@emails.bjut.edu.cn

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