Abstract
This correspondence considers 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. Our method is of low computational complexity and can work with any halftoning algorithm.
Original language | English |
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Pages (from-to) | 854-858 |
Number of pages | 5 |
Journal | IEEE Transactions on Image Processing |
Volume | 3 |
Issue number | 6 |
DOIs | |
State | Published - Nov 1994 |