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Classified JPEG coding of mixed document images for printing.

M G Ramos, R L de Queiroz

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|February 8, 2008

Summary

This study introduces a modified JPEG coder for mixed documents, enhancing perceptual quality for printing. The region-adaptive approach improves compression by classifying document areas, ensuring baseline compliance.

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Area of Science:

Computer Vision
Image Processing
Digital Compression

Background:

Standard JPEG compression struggles with mixed documents (text, images, graphics).
Perceptual quality is crucial for printed mixed-content documents.
Existing methods lack region-specific optimization for mixed documents.

Discussion:

A novel, region-adaptive JPEG coder is proposed for mixed documents.
The coder utilizes classified thresholding, maintaining baseline JPEG standard compliance.
A computationally efficient classification algorithm is integral to the method.

Key Insights:

The modified JPEG coder achieves superior perceptual quality over the standard JPEG coder.
Region-adaptivity effectively leverages distinct perceptual zones within mixed documents.
The classification algorithm enables efficient processing without compromising quality.

Outlook:

Potential for improved image compression in digital printing workflows.
Further research into adaptive compression for diverse document types.
Integration with printing pipelines for enhanced visual fidelity.