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Multiple descriptions based wavelet image coding.

Hai-lin Chen1, Yu-hang Yang

  • 1Modern Communication Institute, Shanghai Jiaotong University, Shanghai 200030, China. heavyseatree@163.com

Journal of Zhejiang University. Science
|December 10, 2003
PubMed
Summary
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This study introduces a robust image compression method using multiple descriptions coding and wavelet transform. It ensures acceptable image quality even with data loss during transmission over unreliable networks.

Area of Science:

  • Digital image processing
  • Information theory
  • Computer vision

Background:

  • Image compression is crucial for efficient data transmission.
  • Packet loss in networks degrades reconstructed image quality.
  • Existing methods lack robustness in unreliable network environments.

Purpose of the Study:

  • To develop an efficient and robust image compression scheme.
  • To enhance image reconstruction quality under packet loss.
  • To leverage JPEG2000 architecture for improved performance.

Main Methods:

  • Combining multiple descriptions coding with wavelet transform.
  • Introducing controlled redundancy to wavelet coefficients.
  • Generating multiple descriptions bit-streams within JPEG2000 framework.

Related Experiment Videos

Main Results:

  • Achieved acceptable image reconstruction quality with partial descriptions.
  • Demonstrated enhanced robustness against packet losses.
  • Improved compression efficiency using high-performance wavelet transform.

Conclusions:

  • The proposed scheme offers a simple and efficient solution for robust image compression.
  • It effectively mitigates the impact of packet loss on image quality.
  • Suitable for transmission over unreliable network channels.