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On the performance of linear phase wavelet transforms in low bit-rate image coding.

E B da Silva1, M Ghanbari

  • 1Dept. de Eletronica, Univ. Federal do Rio de Janeiro.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1996
PubMed
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For low bit-rate image coding, the synthesis wavelet shape is key for image quality. Other factors like regularity and vanishing moments have minimal impact on final visual results.

Area of Science:

  • Digital Signal Processing
  • Image Compression
  • Wavelet Theory

Background:

  • Linear phase wavelet transforms are crucial for efficient image coding.
  • Understanding transform characteristics is vital for optimizing low bit-rate compression.

Purpose of the Study:

  • To investigate the impact of various linear phase wavelet transform characteristics on low bit-rate image coding performance.
  • To identify the most influential features for achieving high image quality in compressed images.

Main Methods:

  • Analysis of over 20 wavelet transforms using a first-order Markov source model.
  • Subjective image quality assessment by multiple viewers after coding with a product code lattice quantizer.

Main Results:

Related Experiment Videos

  • Wavelet transform regularity and vanishing moments showed little effect on final image quality.
  • Coding gain alone had a minor influence on perceived image quality.
  • The shape of the synthesis wavelet significantly impacted the visibility of coding artifacts.

Conclusions:

  • Synthesis wavelet shape is the primary design consideration for effective low bit-rate image coding.
  • While other factors like coding gain are less critical, they still play a secondary role.