Volumetric image compression by 3D discrete wavelet transform (DWT)

Jun Wei; Pongskorn Saipetch; Ramesh K. Panwar; Doris T. Chin; Bruce Kuo Ting Ho

doi:10.1117/12.207612

27 April 1995 Volumetric image compression by 3D discrete wavelet transform (DWT)

Jun Wei, Pongskorn Saipetch, Ramesh K. Panwar, Doris T. Chin, Bruce Kuo Ting Ho

Proceedings Volume 2431, Medical Imaging 1995: Image Display; (1995) https://doi.org/10.1117/12.207612
Event: Medical Imaging 1995, 1995, San Diego, CA, United States

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.

Citation Download Citation

Jun Wei, Pongskorn Saipetch, Ramesh K. Panwar, Doris T. Chin, and Bruce Kuo Ting Ho "Volumetric image compression by 3D discrete wavelet transform (DWT)", Proc. SPIE 2431, Medical Imaging 1995: Image Display, (27 April 1995); https://doi.org/10.1117/12.207612

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