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[Application of integer lifting wavelet transform and subblock coding to medical image compression].

Xiaoqi Lu1, Xiaozhao Xu, Lidong Yang

  • 1School of Information Engineering, Inner Mongolia University of Science & Technology, Baotou 014010, China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|July 10, 2008
PubMed
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This study introduces subblock coding with integer lifting wavelet transform for efficient medical image compression. This method enhances processing speed, saves memory, and supports both lossless and lossy compression for telemedicine.

Area of Science:

  • Medical Imaging
  • Signal Processing
  • Computer Vision

Context:

  • Medical image compression is crucial for efficient storage and transmission in telemedicine.
  • Existing methods may face limitations in processing speed, memory usage, or flexibility for different image sizes.

Purpose:

  • To present a novel subblock coding method for medical image compression using the integer lifting wavelet transform.
  • To leverage the advantages of integer lifting wavelet transform for improved performance and adaptability.

Summary:

  • The proposed method utilizes integer lifting wavelet transform for subblock coding of medical images.
  • This approach enhances processing speed, allows arbitrary image sizes, and conserves memory.
  • The lifting algorithm enables simultaneous lossless and lossy compression, adaptable for telemedicine and medical image compression systems.

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  • Subblock coding allows control over bit ratio (BR) and signal-to-noise ratio (SNR), supporting progressive transform.

    • Impact:

    • Enables faster and more efficient medical image compression.
    • Facilitates improved data handling in telemedicine systems.
    • Offers flexible compression options (lossless/lossy) with controlled quality parameters.