Lossless medical image compression through lightweight binary arithmetic coding

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 i...

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Bibliographic Details
Main Authors: Bartrina Rapesta, Joan, Sanchez, Victor, Serra Sagrsità, Joan, Marcellin, Michael W., Aulí Llinàs, Francesc, Blanes, Ian
Other Authors: Univ Arizona, Elect & Comp Engn
Language:en
Published: SPIE-INT SOC OPTICAL ENGINEERING 2017
Subjects:
Online Access:Joan Bartrina-Rapesta, Victor Sanchez, Joan Serra-Sagristà, Michael W. Marcellin, Francesc Aulí-Llinàs, Ian Blanes, "Lossless medical image compression through lightweight binary arithmetic coding", Proc. SPIE 10396, Applications of Digital Image Processing XL, 103960S (19 September 2017); doi: 10.1117/12.2273725; http://dx.doi.org/10.1117/12.2273725
http://hdl.handle.net/10150/626487
http://arizona.openrepository.com/arizona/handle/10150/626487