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Proceedings Paper

Comparison of lossy coding techniques for digitized radiographic images
Author(s): Morris Goldberg; Sethuraman Panchanathan; Limin Wang
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Paper Abstract

In this paper, we report on an experiment in which various lossy image coding techniques are applied to a digitized radiographic image. The coding schemes are applied to radiograph, digitized using the Konica laser based scanner. Six different lossy coding techniques are employed as follows: full frame transforms, variable length block transform coding, three vector quantization schemes which differ in the degree of adaptivity, and a unified variable length transform coding and adaptive vector quantization. The first vector quantizer uses an universal code book which has been designed from a large set of radiographs; whereas, the second vector quantizer uses a reduced set of code words drawn from the universal codebook. The use of smaller set of code words effectively means that less bits are needed for specifying the codeword label and so decreasing the bit rate requirements. In the last vector quantizer, a new codebook is designed for each image, so decreasing the bit rate required for the label, but increasing the overhead required for transmitting the new code book. The unified variable length transform coding and adaptive vector quantization technique involves variable length transform coding on the code book of the last vector quantizer, thus reducing the overhead for code book transmission.

Paper Details

Date Published: 1 July 1990
PDF: 10 pages
Proc. SPIE 1232, Medical Imaging IV: Image Capture and Display, (1 July 1990); doi: 10.1117/12.18872
Show Author Affiliations
Morris Goldberg, Univ. of Ottawa (Canada)
Sethuraman Panchanathan, Univ. of Ottawa (Canada)
Limin Wang, Univ. of Ottawa (Canada)

Published in SPIE Proceedings Vol. 1232:
Medical Imaging IV: Image Capture and Display
Yongmin Kim, Editor(s)

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