Coherently three-dimensional wavelet-based approach to volumetric image compression

Jiebo Luo; Chang Wen Chen

doi:10.1117/1.482590

1 July 1998 Coherently three-dimensional wavelet-based approach to volumetric image compression

Jiebo Luo, Chang Wen Chen

Journal of Electronic Imaging, Vol. 7, Issue 3, (July 1998). https://doi.org/10.1117/1.482590

Compression of three-dimensional (3D) or four-dimensional medical image data has now become imperative for clinical picture archiving and communication systems (PACS), telemedicine, and telepresence networks. While lossless compression is often desired, lossy compression techniques are gaining acceptance for medical applications, provided that clinically important information can be preserved in the coding process. We present a coherently three-dimensional method for volumetric image compression using 3D wavelet transform and 3D zerotree coding. First, the volumetric image data is decomposed using 3D separable wavelet filterbanks. In this study, we adopt a three-level decomposition to form a 22-band multiresolution pyramid of an octree. Then, to exploit the dependencies among the subband coefficients resulting from 3D wavelet decomposition, a 3D zerotree coding scheme is utilized. To take advantage of the near-Laplacian distributions of the subband coefficients and the efficiency of zerotree coding, a pseudouniform quantization is adopted. The proposed volumetric image compression scheme is applied to two sets of real CT medical data. Significant coding gains have been achieved which demonstrate the effectiveness of the proposed volumetric image compression scheme for medical as well as other applications.

Citation Download Citation

Jiebo Luo and Chang Wen Chen "Coherently three-dimensional wavelet-based approach to volumetric image compression," Journal of Electronic Imaging 7(3), (1 July 1998). https://doi.org/10.1117/1.482590

Published: 1 July 1998

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available