Title :
Lossless hyper-spectral image compression based on XCJRCT, discrete wavelet transform and set partitioning in hierarchical trees coding
Author :
Changcheng Li ; Chengjun Xie ; Shuang Li ; Dong Chen ; Xuechao Ma ; Hongxia Zhang
Author_Institution :
Inf. Technol. Coll., Jilin Agric. Sci. & Technol. Univ., Jilin, China
Abstract :
This paper proposed a new algorithm using invertible matrix transformation XCJRCT to eliminate the spectral redundancy, as well as combining with lifting scheme discrete wavelet transform (DWT) and set partitioning in hierarchical trees (SPIHT) coding. The experiment results show that the capabilities of lossless image compression are far better than JPEG-LS, WinZip, ARJ, and DPCM. With Canal test image (Band Sequential) of Jet Propulsion Laboratory (JPL) as an example data set, the average compression ratio increases about 43.09%, 38.17%, 36.08% 31.08% respectively compared with the above algorithms.
Keywords :
data compression; discrete wavelet transforms; geophysical image processing; image coding; matrix algebra; trees (mathematics); ARJ; DPCM; JPEG-LS; Jet Propulsion Laboratory; WinZip; XCJRCT; canal test image; invertible matrix transformation; lifting scheme discrete wavelet transform; lossless hyperspectral image compression; set partitioning in hierarchical trees coding; spectral redundancy elimination; Educational institutions; Image coding; Matrix decomposition; Partitioning algorithms; Redundancy; Wavelet transforms; DWT; SPIHT algorithm; XCJRCT transform; lossless compression;
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
DOI :
10.1109/MEC.2011.6025636
