Share Email Print
cover

Proceedings Paper

Hardware-friendly mixed content compression algorithm
Author(s): Maribel Figuera; Peter Majewicz; Charles A. Bouman
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 19 January 2009
PDF: 12 pages
Proc. SPIE 7241, Color Imaging XIV: Displaying, Processing, Hardcopy, and Applications, 724114 (19 January 2009); doi: 10.1117/12.805965
Show Author Affiliations
Maribel Figuera, Purdue Univ. (United States)
Peter Majewicz, Hewlett-Packard Co. (United States)
Charles A. Bouman, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 7241:
Color Imaging XIV: Displaying, Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu; Shoji Tominaga; Alessandro Rizzi, Editor(s)

© SPIE. Terms of Use
Back to Top