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
Published in:
Image Processing, IEEE Transactions on
(Volume:3
,
Issue:
6
)
Date of Publication: Nov 1994