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Proceedings Paper

Full-frame entropy coding for radiological image compression
Author(s): Shih-Chung Benedict Lo; Brian Krasner; Seong Ki Mun; Steven C. Horii
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Paper Abstract

The discrete cosine transform (DCT) type algorithm is a leading technique in irreversible image compression. The full-frame bit-allocation (FFBA) technique based on DCT has been proven to be an outstanding compression method for radiological image. A new version of this technique, which discards the bit-table and uses entropy coding instead of bit-packing, FFEC, has recently been developed. The results showed that the new method improves compression ratio by a factor of two (e.g., 24:1 vs. 13:1) with a controlled mean-square-error. With the same compression ratio, the FFEC produces about 50 less error than does FFBA. The FFEC has been tested and results are demonstrated in this paper along with FFBA and the splitting and remapping method. This new method is characterized as a simple, error controllable, and highly efficient compression technique.

Paper Details

Date Published: 1 May 1991
PDF: 7 pages
Proc. SPIE 1444, Medical Imaging V: Image Capture, Formatting, and Display, (1 May 1991); doi: 10.1117/12.45178
Show Author Affiliations
Shih-Chung Benedict Lo, Georgetown Univ. (United States)
Brian Krasner, Georgetown Univ. (United States)
Seong Ki Mun, Georgetown Univ. (United States)
Steven C. Horii, Georgetown Univ. (United States)


Published in SPIE Proceedings Vol. 1444:
Medical Imaging V: Image Capture, Formatting, and Display
Yongmin Kim, Editor(s)

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