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Proceedings Paper

Video compression algorithm for dynamic angiographic images
Author(s): Bruce Kuo Ting Ho; Pongskorn Saipetch; Jun Wei; Marco Ma; John D. Villasenor; Ming-Jing Tsai
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Paper Abstract

We have developed a compression algorithm that achieves high compression ratio and excellent reconstruction quality for video rate or sub-video rate angiograms. Commercially available technology such as JPEG and MPEG do not satisfy medical requirements due to their severe block artifacts. Our new method takes advantage of the high temporal correlation of the angiographic frames using MPEG motion estimation software, but performs the error frame encoding using wavelet transform which is much more sensitive to localized block artifact features than the conventional discrete cosine transform. Our results show that at ratios up to 20:1, excellent image quality is obtained in reconstructed angiograms. Because of the excellent energy gathering and spatial localization properties of wavelet transform, high image fidelity and compression ratio can be simultaneously achieved. The algorithm is parallelizable and therefore can be implemented relatively easily in real time hardware.

Paper Details

Date Published: 1 May 1994
PDF: 8 pages
Proc. SPIE 2164, Medical Imaging 1994: Image Capture, Formatting, and Display, (1 May 1994); doi: 10.1117/12.174013
Show Author Affiliations
Bruce Kuo Ting Ho, Univ. of California/Los Angeles (United States)
Pongskorn Saipetch, Univ. of California/Los Angeles (United States)
Jun Wei, Univ. of California/Los Angeles (United States)
Marco Ma, Univ. of California/Los Angeles (United States)
John D. Villasenor, Univ. of California/Los Angeles (United States)
Ming-Jing Tsai, Univ. of California/Los Angeles (United States)


Published in SPIE Proceedings Vol. 2164:
Medical Imaging 1994: Image Capture, Formatting, and Display
Yongmin Kim, Editor(s)

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