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Compaction of ordered dithered images with arithmetic coding.

Y Lin, Y J Wang, T H Fan

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |February 6, 2008
    PubMed
    Summary
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    Ordered dither image compaction was studied using arithmetic coding. Four-pixel interleaving with JBIG1 coding achieved the best compression performance for ordered dithered images.

    Area of Science:

    • Digital image processing
    • Data compression techniques

    Background:

    • Ordered dither is a widely used halftoning method.
    • Arithmetic coding offers efficient data compression.

    Discussion:

    • This study investigates the compaction of ordered dithered images via arithmetic coding.
    • A pixel interleaving preprocessor groups pixels by dithering thresholds for enhanced coding.
    • The integration with the JBIG1 standard is explored for optimal compressibility.

    Key Insights:

    • Pixel interleaving significantly improves the compressibility of dithered images.
    • Four-pixel interleaving demonstrated superior compression ratios compared to other methods.
    • The proposed method enables efficient storage and transmission of dithered images.

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    Outlook:

    • Further research can explore adaptive interleaving strategies.
    • Investigating the impact on visual quality at different compression levels is recommended.
    • Potential applications in medical imaging and document archiving.