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
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;
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2196-9
DOI :
10.1109/ICoSP.2012.6491564
