title: Error-diffused image compression using a binary-to-gray-scale decoder and predictive pruned tree-structured vector quantization.
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.
authors.affiliation: Dept. of Electr. Eng., Washington Univ., Seattle, WA.
authors.forename: M Y
authors.initials: MY
authors.lastname: Ting
authors.forename: E A
authors.initials: EA
authors.lastname: Riskin