1 April 2004 Token-based error diffusion for high quality halftoning with good compression and low complexity
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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.
© (2004) Society of Photo-Optical Instrumentation Engineers (SPIE)
Je-Ho Lee, Jan P. Allebach, "Token-based error diffusion for high quality halftoning with good compression and low complexity," Journal of Electronic Imaging 13(2), (1 April 2004). https://doi.org/10.1117/1.1666875 . Submission:
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