DocumentCode
1843992
Title
Lossy and lossless spectral image compression using quaternion Fourier, Burrows-Wheeler and Move- to-Front transforms
Author
Yang Liu ; Goutte, Robert
Author_Institution
Bioeng. Dept., Chongqing Univ., Chongqing, China
Volume
1
fYear
2012
fDate
21-25 Oct. 2012
Firstpage
619
Lastpage
622
Abstract
We propose to use two reversible algorithms, (BWT: Burrows-Wheeler and MTF: Move to Front), principally developed for the compression of texts, in combination with the spectrum quantification of the quaternionic transformation (QFT), for realize the compression of 2D image.
Keywords
Fourier transforms; image coding; spectral analysis; 2D image compression; BWT; Burrows-Wheeler transform; MTF; QFT; lossless spectral Image compression; lossy spectral image compression; move-to-front transform; quaternion Fourier transform; quaternionic transformation; reversible algorithms; Burrows-Wheeler; Huffman coding; Move to Front; compression image; quaternion Fourier transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location
Beijing
ISSN
2164-5221
Print_ISBN
978-1-4673-2196-9
Type
conf
DOI
10.1109/ICoSP.2012.6491564
Filename
6491564
Link To Document