Error-diffused image compression using a binary-to-gray-scaledecoder and predictive pruned tree-structured vector quantization
Ming Yuan Ting
Riskin, E.A.
Dept. of Electr. Eng., Washington Univ., Seattle, WA;
This paper appears in: Image Processing, IEEE Transactions on
Publication Date: Nov 1994
Volume: 3,
Issue: 6
On page(s): 854-858
ISSN: 1057-7149
References Cited: 23
CODEN: IIPRE4
INSPEC Accession Number: 4833149
Digital Object Identifier: 10.1109/83.336256
Current Version Published: 2002-08-06
Abstract
The authors consider data compression of binary error diffused
images. The original contribution is using nonlinear filters to decode
error-diffused images to compress them in the gray-scale domain; this
gives better image quality than directly compressing the binary images.
Their method is of low computational complexity and can work with any
halftoning algorithm
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