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Orientation-sensitive interpolative pyramids for lossless and progressive image coding.

N V Boulgouris, M G Strintzis

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |February 8, 2008
    PubMed
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    This study introduces a modified JPEG coder for mixed documents, enhancing perceptual quality for printing. The region-adaptive approach improves compression efficiency and visual fidelity compared to standard methods.

    Area of Science:

    • Image compression
    • Digital signal processing
    • Computer vision

    Background:

    • Standard JPEG compression struggles with mixed documents containing text, images, and graphics.
    • Achieving high perceptual quality for print documents requires specialized compression techniques.

    Purpose of the Study:

    • To develop a modified JPEG coder for mixed documents that enhances perceptual quality for printing.
    • To improve compression efficiency by exploiting perceptually significant regions within documents.

    Main Methods:

    • A modified JPEG coder incorporating region-adaptivity through classified thresholding.
    • A computationally efficient algorithm for classifying perceptually significant regions.
    • Ensuring full compliance with the baseline JPEG standard.

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    Main Results:

    • The modified JPEG coder achieves higher perceptual quality than the standard JPEG coder for mixed documents.
    • The region-adaptive approach effectively utilizes distinct document regions for improved compression.
    • The classification algorithm is computationally efficient.

    Conclusions:

    • The proposed classified JPEG coder offers superior performance for mixed document compression for printing.
    • Region-adaptive compression is a viable strategy for enhancing perceptual quality in digital imaging.
    • The method provides a practical solution for high-quality document compression.