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Related Experiment Videos

Recursive time-varying filter banks for subband image coding.

M T Smith1, W L Chung

  • 1Digital Signal Process. Lab., Georgia Inst. of Technol., Atlanta, GA.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1995
PubMed
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This study introduces a novel adaptive infinite impulse response (IIR) filter bank for efficient frequency spectrum partitioning. Adaptive recursive filters offer improved performance in subband image coding compared to conventional methods.

Area of Science:

  • Digital Signal Processing
  • Image Processing
  • Filter Design

Background:

  • Recursive filter banks are efficient for frequency spectrum partitioning.
  • Existing filter banks offer computational efficiency but lack adaptability.
  • Subband coding and wavelet decompositions are established techniques.

Purpose of the Study:

  • To analyze a new infinite impulse response (IIR) filter bank with adaptive capabilities.
  • To explore the application of this adaptive filter bank in subband image coding.
  • To demonstrate potential performance improvements over conventional filter banks.

Main Methods:

  • Development of a novel adaptive IIR filter bank framework.
  • Analysis of filter bank performance in the context of subband image coding.

Related Experiment Videos

  • Investigation of exact reconstruction without quantization errors.
  • Evaluation of recursive linear time-varying (LTV) filter banks.

    • Main Results:

    • The proposed adaptive IIR filter bank allows filters to change in response to input signals.
    • Exact signal reconstruction is achievable in the absence of quantization errors.
    • Adaptive recursive LTV filter banks show potential for improvement over conventional designs.
    • The framework is suitable for subband image coding applications.

    Conclusions:

    • Adaptive IIR filter banks represent a significant advancement in signal processing.
    • The proposed adaptive framework offers enhanced flexibility and performance for image coding.
    • Recursive LTV filter banks, when properly adapted, can outperform static filter banks.