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Ordering predictive coding of digital image

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2 Author(s)
Mizuno, S. ; NEC Corporation, Kanagawa, Japan ; Iinuma, K.

An efficient coding method for multi-level digital image data with up to about 16 levels is described, which can attain data compression nearly equal to the theoretical bound given by a two-dimensional Markov model entropy, without any loss of picture information. The method, ordering predictive coding, is composed of an ordering prediction followed by a run-length coding of a serial prediction error bit stream. It is proved that the ordering prediction is the optimized prediction scheme and has a lower prediction error entropy than that of DPCM and bit plane, and also proved that the run-length coding reduces the entropy almost near to that of the two-dimensional Markov model entropy.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '85.  (Volume:10 )

Date of Conference:

Apr 1985

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