An efficient compression scheme for 4-D medical images using hierarchical vector quantization and motion compensation

نویسندگان

  • Binh P. Nguyen
  • Chee-Kong Chui
  • Sim Heng Ong
  • Stephen K. Y. Chang
چکیده

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.

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عنوان ژورنال:
  • Computers in biology and medicine

دوره 41 9  شماره 

صفحات  -

تاریخ انتشار 2011