TITLE:      Near-lossless image compression: Minimum-entropy, 
	    constrained-error DPCM
AUTHORS:    L. Ke and M. W. Marcellin
JOURNAL:    IEEE Transactions on Image Processing
ABSTRACT:
A near-lossless image compression scheme is presented.
It is essentially a DPCM system with a mechanism incorporated
to minimize the entropy of the quantized prediction error sequence.
With a ``near-lossless'' criterion of no more than a d gray level error
for each pixel, where d is a small non-negative integer, trellises describing 
all allowable quantized prediction error sequences are constructed.
A set of ``contexts'' is defined for the conditioning prediction error model
and an algorithm that produces minimum entropy conditioned on the contexts is
presented. Finally, experimental results are given.