Error-Diffused Image Compression Using a Binary-to-Gray-Scale Decoder and Predictive Pruned Tree-Structured Vector Quantization

Ming Yuan Ting, Eve A. Riskin

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

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 languageEnglish
Pages (from-to)854-858
Number of pages5
JournalIEEE Transactions on Image Processing
Volume3
Issue number6
DOIs
StatePublished - Nov 1994

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