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A JPEG variable quantization method for compound documents.

K Konstantinides, D Tretter

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |February 12, 2008
    PubMed
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    This study introduces a JPEC-compliant method for efficient compound document compression using variable quantization. The technique optimizes compression quality by adjusting quantization based on block activity, prioritizing text over images.

    Area of Science:

    • Computer Science
    • Information Technology
    • Digital Imaging

    Background:

    • Compound documents combine text and images, posing compression challenges.
    • Existing methods may not optimally balance compression efficiency and quality for diverse document elements.
    • Discrete Cosine Transform (DCT) activity is a key metric for image block analysis.

    Discussion:

    • The proposed method employs variable quantization, adapting scaling factors per block.
    • DCT activity analysis guides the automatic adjustment of quantization levels.
    • Text blocks receive higher compression quality compared to image blocks.

    Key Insights:

    • Achieved efficient compression of compound documents while maintaining high quality for text.
    • Demonstrated the effectiveness of DCT-based adaptive quantization for JPEC compliance.

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  • Evaluated three distinct quantization mapping strategies for performance comparison.

    • Outlook:

    • Further research could explore real-time implementation of this adaptive compression technique.
    • Potential applications include digital archiving and efficient document transmission.
    • Investigating the impact of different DCT block sizes could refine the method.