Lossless compression of CCD sensor data

Authors:
Gerald Schaefer;Joanna Obstoj
Affiliations:
School of Computing and Informatics, Nottingham Trent University, Nottingham, United Kingdom;School of Computing and Informatics, Nottingham Trent University, Nottingham, United Kingdom
Venue:
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Year:
2005

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Abstract

An evaluation of lossless image compression methods applied to CCD sensor data is provided. Ten different image compression algorithms were tested on an image set of more than 200 images organised according to the Bayer pattern configuration. The results show that Glicbawls is the best performing algorithm providing the highest compression ratio followed by CALIC, JPEG-LS, and JPEG2000.