This correspondence considers data compression of binary error diffuse
d images. The original contribution is using nonlinear filters to deco
de error-diffused images to compress them in the gray-scale domain; th
is gives better image quality than directly compressing the binary ima
ges. Our method is of low computational complexity and can work with a
ny halftoning algorithm.