TY - JOUR
T1 - Context-based lossless interband compression - extending CALIC
AU - Wu, Xiaolin
AU - Memon, Nasir
N1 - Funding Information:
Manuscript received October 23, 1998; revised November 12, 1999. N. Memon was supported in part by NSF CAREER Award NCR 964 044. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Antonio Ortega. X. Wu is with the Department of Computer Science, University of Western Ontario, London, Ont., Canada N6A 5B7. N. Memon is with the Computer Science Department, Polytechnic University, Brooklyn, NY 11201 USA (e-mail: [email protected]). Publisher Item Identifier S 1057-7149(00)04509-7.
PY - 2000
Y1 - 2000
N2 - This paper proposes an interband version of CALIC (Context-based, Adaptive, Lossless Image Codec) which represents one of the best performing, practical and general purpose lossless image coding techniques known today. Interband coding techniques are needed for effective compression of multispectral images like color images and remotely sensed images. It is demonstrated that CALIC's techniques of context modeling of DPCM errors lend themselves easily to modeling of higher-order interband correlations that cannot be exploited by simple interband linear predictors alone. The proposed interband CALIC exploits both interband and intraband statistical redundancies, and obtains significant compression gains over its intraband counterpart. On some types of multispectral images, interband CALIC can lead to a reduction in bit rate of more than 20% as compared to intraband CALIC. Interband CALIC only incurs a modest increase in computational cost as compared to intraband CALIC.
AB - This paper proposes an interband version of CALIC (Context-based, Adaptive, Lossless Image Codec) which represents one of the best performing, practical and general purpose lossless image coding techniques known today. Interband coding techniques are needed for effective compression of multispectral images like color images and remotely sensed images. It is demonstrated that CALIC's techniques of context modeling of DPCM errors lend themselves easily to modeling of higher-order interband correlations that cannot be exploited by simple interband linear predictors alone. The proposed interband CALIC exploits both interband and intraband statistical redundancies, and obtains significant compression gains over its intraband counterpart. On some types of multispectral images, interband CALIC can lead to a reduction in bit rate of more than 20% as compared to intraband CALIC. Interband CALIC only incurs a modest increase in computational cost as compared to intraband CALIC.
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U2 - 10.1109/83.846242
DO - 10.1109/83.846242
M3 - Article
C2 - 18255470
AN - SCOPUS:0033698892
SN - 1057-7149
VL - 9
SP - 994
EP - 1001
JO - IEEE Transactions on Image Processing
JF - IEEE Transactions on Image Processing
IS - 6
ER -