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Proceedings Paper

Full-Frame Transform Coding of Cross-Sectional Images
Author(s): K. K. Chan; Shyh-Liang Lou; H. K. Huang
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Paper Abstract

Image compression algorithms based on full-frame discrete transforms completely eliminate the artifacts generated by block quantization techniques. Previously, we have shown that full-frame compression using an adaptive two-dimensional bit-allocation table is capable of achieving compression ratios as high as 10:1 to 20:1, while maintaining excellent image fidelity, when applied to computed radiography images, and film radiographs digitized with 2K x 2K resolution. Cross-sectional images such as computed tomography and magnetic resonance have spectral properties qualitatively different from those of projection radiographs. We report results of a study on the efficiency of our algorithm applied to images from these digital modalities. We find that we can achieve excellent results with compression ratios in the range 3:1 to 7:1. For CT images of the head, previous attempts at using the full-frame technique had required a hybrid method that used separation of skull and soft tissue. This is unnecessary with our new two-dimensional bit-allocation table. The study was performed on a hardware implementation of our algorithm which can compress a 512 x 512 x 12-bit image in less than 1.5 seconds.

Paper Details

Date Published: 8 May 1989
PDF: 6 pages
Proc. SPIE 1091, Medical Imaging III: Image Capture and Display, (8 May 1989); doi: 10.1117/12.976440
Show Author Affiliations
K. K. Chan, University of California (United States)
Shyh-Liang Lou, University of California (United States)
H. K. Huang, University of California (United States)


Published in SPIE Proceedings Vol. 1091:
Medical Imaging III: Image Capture and Display
Samuel J. Dwyer; R. Gilbert Jost; Roger H. Schneider, Editor(s)

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