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Proceedings Paper

Volumetric image compression by 3D discrete wavelet transform (DWT)
Author(s): Jun Wei; Pongskorn Saipetch; Ramesh K. Panwar; Doris T. Chin; Bruce Kuo Ting Ho
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Paper Abstract

The newly developed discrete wavelet transform (DWT) compression method is far superior to previous full frame discrete cosine transform (FFDCT) as well as industrial standard JPEG. Due to its localization properties both in spatial and transform domain, the quantization error introduced in DWT will not propagate globally as in FFDCT. Also DWT transform is a global technique that avoids the JPEG type block artifacts. As in all techniques, correlation among pixels makes compression possible. In volumetric image sets, such as CT and MR, inter-slice correlation can be exploited in addition to in-slice correlation. In this 3D DWT study, inter- slice correlation has also been investigated for CT and MR image set. Different numbers of slices are grouped together to perform wavelet transform in the transaxiale direction as a mean of testing relationship between correlation and compression efficiency. The 3D DWT is developed on UNIX platform. Significant higher compression ratio is achieved by compressing CT data as a volume versus one slice at a time. DWT is an excellent technique for exploiting inter-slice correlation to gain additional compression efficiency.

Paper Details

Date Published: 27 April 1995
PDF: 11 pages
Proc. SPIE 2431, Medical Imaging 1995: Image Display, (27 April 1995); doi: 10.1117/12.207612
Show Author Affiliations
Jun Wei, Univ. of California/Los Angeles (United States)
Pongskorn Saipetch, Univ. of California/Los Angeles (United States)
Ramesh K. Panwar, Univ. of California/Los Angeles (United States)
Doris T. Chin, Univ. of California/Los Angeles (United States)
Bruce Kuo Ting Ho, Univ. of California/Los Angeles (United States)


Published in SPIE Proceedings Vol. 2431:
Medical Imaging 1995: Image Display
Yongmin Kim, Editor(s)

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