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19 January 2009 Hardware-friendly mixed content compression algorithm
Maribel Figuera, Peter Majewicz, Charles A. Bouman
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Proceedings Volume 7241, Color Imaging XIV: Displaying, Processing, Hardcopy, and Applications; 724114 (2009) https://doi.org/10.1117/12.805965
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
Abstract
The mixed content compression (MCC) algorithm developed in this research provides a hardware efficient solution for compression of scanned compound document images. MCC allows for an easy implementation in imaging pipeline hardware by using only an 8 row buffer of pixels. MCC uses the JPEG encoder to effectively compress the background and picture content of a document image. The remaining text and line graphics in the image, which require high spatial resolution, but can tolerate low color resolution, are compressed using a JBIG1 encoder and color quantization. To separate the text and graphics from the image, MCC uses a simple mean square error (MSE) block classification algorithm to allow a hardware efficient implementation. Results show that for our comprehensive training suite, the compression ratio average achieved by MCC was 60:1, but JPEG only achieved 35:1. In particular, MCC compression ratios become very high on average (82:1 versus 44:1) for mono text documents, which are very common documents being copied and scanned with all-in-ones. In addition, MCC has an edge sharpening side-effect that is very desirable for the target application.
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Maribel Figuera, Peter Majewicz, and Charles A. Bouman "Hardware-friendly mixed content compression algorithm", Proc. SPIE 7241, Color Imaging XIV: Displaying, Processing, Hardcopy, and Applications, 724114 (19 January 2009); https://doi.org/10.1117/12.805965
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KEYWORDS
Image compression
Computer programming
Visualization
Binary data
Quantization
Image classification
Image segmentation
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