TY - JOUR
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
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
U2 - 10.1117/12.2273725
DO - 10.1117/12.2273725
M3 - Artículo
AN - SCOPUS:85034781912
SN - 0277-786X
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
ER -