Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.compbiomed.2011.07.003
Title: An efficient compression scheme for 4-D medical images using hierarchical vector quantization and motion compensation
Authors: Nguyen, B.P. 
Chui, C.-K. 
Ong, S.-H. 
Chang, S.
Keywords: 4-D compression
Block distortion measure
Hierarchical vector quantization
Motion estimation
Variance of residual
Issue Date: Sep-2011
Source: Nguyen, B.P., Chui, C.-K., Ong, S.-H., Chang, S. (2011-09). An efficient compression scheme for 4-D medical images using hierarchical vector quantization and motion compensation. Computers in Biology and Medicine 41 (9) : 843-856. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compbiomed.2011.07.003
Abstract: This paper proposes an efficient compression scheme for compressing time-varying medical volumetric data. The scheme uses 3-D motion estimation to create a homogenous preprocessed data to be compressed by a 3-D image compression algorithm using hierarchical vector quantization. A new block distortion measure, called variance of residual (VOR), and three 3-D fast block matching algorithms are used to improve the motion estimation process in term of speed and data fidelity. The 3-D image compression process involves the application of two different encoding techniques based on the homogeneity of input data. Our method can achieve a higher fidelity and faster decompression time compared to other lossy compression methods producing similar compression ratios. The combination of 3-D motion estimation using VOR and hierarchical vector quantization contributes to the good performance. © 2011 Elsevier Ltd.
Source Title: Computers in Biology and Medicine
URI: http://scholarbank.nus.edu.sg/handle/10635/55004
ISSN: 00104825
DOI: 10.1016/j.compbiomed.2011.07.003
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