Three-dimensional transform compression of images from dynamic studies

Kelby K. Chan; Christina C. Lau; Shyhliang A. Lou; Alek S. Hayrapetian; Bruce Kuo Ting Ho; H. K. Huang

doi:10.1117/12.18871

1 July 1990 Three-dimensional transform compression of images from dynamic studies

Kelby K. Chan, Christina C. Lau, Shyhliang A. Lou, Alek S. Hayrapetian, Bruce Kuo Ting Ho, H. K. Huang

Proceedings Volume 1232, Medical Imaging IV: Image Capture and Display; (1990) https://doi.org/10.1117/12.18871
Event: Medical Imaging '90, 1990, Newport Beach, CA, United States

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.

Citation Download Citation

Kelby K. Chan, Christina C. Lau, Shyhliang A. Lou, Alek S. Hayrapetian, Bruce Kuo Ting Ho, and H. K. Huang "Three-dimensional transform compression of images from dynamic studies", Proc. SPIE 1232, Medical Imaging IV: Image Capture and Display, (1 July 1990); https://doi.org/10.1117/12.18871

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