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A combined-transform coding (CTC) scheme for medical images.

Y Q Zhang1, M H Loew, R L Pickholtz

  • 1Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC.

IEEE Transactions on Medical Imaging
|January 1, 1992
PubMed
Summary
This summary is machine-generated.

A new combined-transform coding (CTC) scheme effectively reduces blocking artifacts in image compression. This advanced method improves subjective visual quality and compression efficiency for medical images like X-rays.

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Area of Science:

  • Digital image processing
  • Medical imaging technology
  • Information theory

Background:

  • Conventional block transform coding methods, such as Discrete Cosine Transform (DCT) and Discrete Walsh-Hadamard Transform (DWHT), suffer from blocking artifacts.
  • These artifacts degrade the subjective visual quality of compressed images, particularly in medical applications.

Purpose of the Study:

  • To introduce and investigate a novel Combined-Transform Coding (CTC) scheme.
  • To evaluate the effectiveness of CTC in reducing blocking artifacts and improving subjective performance.
  • To explore the information-theoretic properties and compression performance of CTC.

Main Methods:

  • Development of a Combined-Transform Coding (CTC) scheme.
  • Theoretical investigation of the information-theoretic properties of CTC.
  • Computer simulations using a dataset of chest X-ray images.
  • Comparative analysis against conventional DCT and DWHT methods.

Main Results:

  • The proposed CTC scheme significantly reduces blocking artifacts compared to DCT and DWHT.
  • Subjective performance evaluation demonstrates superior visual quality with CTC.
  • Information-theoretic analysis provides insights into CTC's efficiency.
  • Simulations on chest X-ray images confirm the practical benefits of CTC.

Conclusions:

  • The Combined-Transform Coding (CTC) scheme offers a significant improvement over conventional methods for image compression.
  • CTC effectively mitigates blocking artifacts, enhancing subjective image quality, especially for medical imaging.
  • The scheme also shows potential for slight compression performance gains in noiseless coding applications.