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Related Experiment Videos

Variable-length lapped transforms with a combination of multiple synthesis filter banks for image coding.

Toshihisa Tanaka1, Yasutaka Hirasawa, Yukihiko Yamashita

  • 1Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan. tanakat@cc.tuat.ac.jp

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 27, 2006
PubMed
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A new class of lapped transforms with variable-length filters enhances image coding compression. These novel transforms offer design flexibility and perform comparably to existing methods like wavelets.

Area of Science:

  • Digital image processing
  • Signal processing
  • Data compression

Background:

  • Lapped transforms are crucial for image coding, enabling efficient data representation.
  • Existing variable-length lapped transforms offer limited design flexibility.
  • Perfect reconstruction filter banks (FBs) are a cornerstone of advanced signal processing.

Purpose of the Study:

  • To introduce a novel class of lapped transforms for image coding with enhanced design freedom.
  • To improve compression efficiency in digital image processing.
  • To provide a flexible framework for developing new image coding transforms.

Main Methods:

  • Defining a synthesis filter bank (FB) with arbitrary finite impulse response (FIR) filters for perfect reconstruction.

Related Experiment Videos

  • Deriving the analysis FB using direct matrix inversion or Neumann series expansion.
  • Incorporating a unitary transform post-analysis FB to further enhance compression.

    • Main Results:

    • The proposed class of transforms offers greater design freedom compared to existing variable-length lapped transforms.
    • Experimental results demonstrate promising performance in image coding applications.
    • The novel transforms achieve compression comparable to conventional subband transforms, including wavelets.

    Conclusions:

    • The introduced class of lapped transforms represents a significant advancement in image coding.
    • These transforms provide a flexible and effective tool for improving compression ratios.
    • The findings suggest broad applicability and potential for further development in image compression technologies.