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Proceedings Paper

Improved joint bilevel image experts group (JBIG) data compression of continuous-tone images
Author(s): Liang Shen; Rangaraj M. Rangayyan
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Paper Abstract

Lossless compression techniques are essential in some applications, such as archival and communication of medical images. In this paper, an improvement on the Joint Bi-level Image Experts Group (JBIG) method for continuous-tone image compression is proposed, which is basically an innovative combination of multiple decorrelation procedures, namely a lossless JPEG (Joint Photographic Experts Group)-based predictor, a transform-based inter-bit-plane decorrelator, and JBIG-based intra-bit-plane decorrelator. Our improved JBIG coding scheme outperformed lossless JPEG coding, JBIG coding, and the best mode of CREW coding (compression with reversible embedded wavelets), on the average bit rate, by 0.56 (8 bits/component images only), 0.14, and 0.12 bits per pixel with the JPEG standard set of 23 continuous-tone test images. Our compression technique could be easily incorporated into currently existing JBIG-based products. A proper high-order entropy estimation algorithm is also presented, which indicates the potentially achievable lower bound bit rate, and should be useful in decorrelation analysis as well as in the design of cascaded decorrelators.

Paper Details

Date Published: 27 February 1996
PDF: 12 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233278
Show Author Affiliations
Liang Shen, Univ. of Calgary (Canada)
Rangaraj M. Rangayyan, Univ. of Calgary (Canada)

Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

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