Share Email Print

Optical Engineering

Enhanced JBIG-based compression for satisfying objectives of engineering document management system
Author(s): Eugene Jevgeni Ageenko; Pasi Franti
Format Member Price Non-Member Price
PDF $20.00 $25.00
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 main objectives of an engineering document management (EDM) system are outlined. Existing image compression algorithms [e.g., Group 4 (G4) and Joint Bilevel Image Experts Group (JBIG)] offer efficient solutions to the storage problem but do not sufficiently support other objectives such as spatial access and fast decoding. We propose a novel method based on JBIG in which the other objectives are also met. The compression performance of the proposed method is only 10% worse than that of JBIG, and at the same time, spatial access to a compressed file is achieved. The method is also 2.5 times faster in decompression than JBIG. This speedup is comparable to the G4 standard, but with better compression performance. The proposed method is applicable not only to engineering drawings but to binary images in any document imaging system.

Paper Details

Date Published: 1 May 1998
PDF: 9 pages
Opt. Eng. 37(5) doi: 10.1117/1.601668
Published in: Optical Engineering Volume 37, Issue 5
Show Author Affiliations
Eugene Jevgeni Ageenko, University of Joensuu (Finland)
Pasi Franti, Univ. of Joensuu (Finland)

© SPIE. Terms of Use
Back to Top