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Proceedings Paper

Three-dimensional transform compression of images from dynamic studies
Author(s): Kelby K. Chan; Christina C. Lau; Shyhliang A. Lou; Alek S. Hayrapetian; Bruce Kuo Ting Ho; H. K. Huang
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Paper Abstract

Transform based compression methods achieve their effect by taking advantage of the correlations between adjacent pLtels in an image. The increasing use of three-dimensional imaging studies in radiology requires new techniques for image compression. For time-sequenced studies such as digital subtraction angiography, pixels are correlated between images, as well as within an image. By using three-dimensional cosine transforms, correlations in time as well as space can be exploited for image compression. Sequences of up to eight 512 x 512 x 8-bit images were compressed using a single full volume three-dimensional cosine transform, followed by quantization and bit-allocation. The quantization process is a uniform thresholding type and an adaptive three-dimensional bit-allocation table is used. The resultant image fidelity vs. compression ratio was shown to be superior to that achieved by compressing each image individually.

Paper Details

Date Published: 1 July 1990
PDF: 5 pages
Proc. SPIE 1232, Medical Imaging IV: Image Capture and Display, (1 July 1990); doi: 10.1117/12.18871
Show Author Affiliations
Kelby K. Chan, UCLA School of Medicine (United States)
Christina C. Lau, UCLA School of Medicine (United States)
Shyhliang A. Lou, UCLA School of Medicine (United States)
Alek S. Hayrapetian, UCLA School of Medicine (United States)
Bruce Kuo Ting Ho, UCLA School of Medicine (United States)
H. K. Huang, UCLA School of Medicine (United States)


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

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