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Journal of Electronic Imaging

Token-based error diffusion for high quality halftoning with good compression and low complexity
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Paper Abstract

This paper presents a combined halftoning and compression approach which achieves high quality halftones and compression ratios comparable to those of JBIG and JBIG2 with much simpler encoding and decoding schemes. We use tone-dependent error diffusion and a tree structure to efficiently develop the halftone texture from a limited set of binary one-dimensional tokens. Local estimation of tone further restricts the candidate set of tokens. In areas of the image containing edges or detail, the token is not constrained. A Huffman code is used to efficiently encode the tokens with minimal complexity. Experimental results show that visual quality is very close to that of regular tone-dependent error diffusion.

Paper Details

Date Published: 1 April 2004
PDF: 12 pages
J. Electron. Imag. 13(2) doi: 10.1117/1.1666875
Published in: Journal of Electronic Imaging Volume 13, Issue 2
Show Author Affiliations
Je-Ho Lee, Hewlett-Packard Co. (United States)
Jan P. Allebach, Purdue Univ. (United States)

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