A Codebook Generation Algorithm for Document Image Compression
<|reference_start|>A Codebook Generation Algorithm for Document Image Compression: Pattern-matching-based document-compression systems (e.g. for faxing) rely on finding a small set of patterns that can be used to represent all of the ink in the document. Finding an optimal set of patterns is NP-hard; previous compression schemes have resorted to heuristics. This paper describes an extension of the cross-entropy approach, used previously for measuring pattern similarity, to this problem. This approach reduces the problem to a k-medians problem, for which the paper gives a new algorithm with a provably good performance guarantee. In comparison to previous heuristics (First Fit, with and without generalized Lloyd's/k-means postprocessing steps), the new algorithm generates a better codebook, resulting in an overall improvement in compression performance of almost 17%.<|reference_end|>
@article{zhang2002a,
    title={A Codebook Generation Algorithm for Document Image Compression},
    author={Qin Zhang, John Danskin, Neal Young},
    journal={arXiv preprint arXiv:cs/0205029},
    year={2002},
    doi={10.1109/DCC.1997.582053},
    archivePrefix={arXiv},
    eprint={cs/0205029},
    primaryClass={cs.DS}
}