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.
This paper presents a combined halftoning and compression approach, which achieves high quality halftones and compression ratios comparable to those of JBIG with much simpler encoding and decoding schemes. In the proposed algorithm, we halftone the input continuous-tone image with constraints in a controlled manner, so that we can decrease the entropy of the resulting halftones while maintaining a high level of visual image quality.
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