TY - GEN
T1 - Lossless medical image compression through lightweight binary arithmetic coding
AU - Bartrina-Rapesta, Joan
AU - Sanchez, Victor
AU - Serra-Sagristà, Joan
AU - Marcellin, Michael W.
AU - Aulí-Llinàs, Francesc
AU - Blanes, Ian
N1 - Funding Information:
This work was supported in part by the Spanish Ministry of Economy and Competitiveness (MINECO) and by the European Regional Development Fund (FEDER) under Grant TIN2015-71126-R, by the Catalan Government under Grant 2014SGR-691, and by Centre National d’Études Spatiales (CNES).
Publisher Copyright:
© 2017 SPIE.
PY - 2017
Y1 - 2017
N2 - A contextual lightweight arithmetic coder is proposed for lossless compression of medical imagery. Context definition uses causal data from previous symbols coded, an inexpensive yet efficient approach. To further reduce the computational cost, a binary arithmetic coder with fixed-length codewords is adopted, thus avoiding the normalization procedure common in most implementations, and the probability of each context is estimated through bitwise operations. Experimental results are provided for several medical images and compared against state-of-the-art coding techniques, yielding on average improvements between nearly 0.1 and 0.2 bps.
AB - A contextual lightweight arithmetic coder is proposed for lossless compression of medical imagery. Context definition uses causal data from previous symbols coded, an inexpensive yet efficient approach. To further reduce the computational cost, a binary arithmetic coder with fixed-length codewords is adopted, thus avoiding the normalization procedure common in most implementations, and the probability of each context is estimated through bitwise operations. Experimental results are provided for several medical images and compared against state-of-the-art coding techniques, yielding on average improvements between nearly 0.1 and 0.2 bps.
KW - Arithmetic Coding
KW - CCSDS-123
KW - Lossless Coding
KW - Medical Image Compression
UR - http://www.scopus.com/inward/record.url?scp=85034781912&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85034781912&partnerID=8YFLogxK
U2 - 10.1117/12.2273725
DO - 10.1117/12.2273725
M3 - Conference contribution
AN - SCOPUS:85034781912
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Applications of Digital Image Processing XL
A2 - Tescher, Andrew G.
PB - SPIE
T2 - Applications of Digital Image Processing XL 2017
Y2 - 7 August 2017 through 10 August 2017
ER -