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Layered image coding using the DCT pyramid.

K H Tan1, M Ghanbari

  • 1Information Technol. Inst.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1995
PubMed
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A novel block-based image coder uses a Discrete Cosine Transform (DCT) pyramid to improve image quality. This method enhances rendition properties and reduces blocking artifacts at low bit-rates.

Area of Science:

  • Digital image processing
  • Image compression
  • Signal processing

Background:

  • Block-based image coding is widely used but can suffer from blocking artifacts.
  • Existing methods often struggle to maintain image quality at low bit-rates.
  • Pyramidal data structures can offer multi-resolution representations for image data.

Purpose of the Study:

  • To introduce a novel block-based subband image coder.
  • To leverage decimation in the Discrete Cosine Transform (DCT) domain for a pyramidal structure.
  • To improve image rendition properties and minimize blocking artifacts, especially at low bit-rates.

Main Methods:

  • A block-based subband image coder is proposed.
  • Decimation is performed directly in the Discrete Cosine Transform (DCT) domain.

Related Experiment Videos

  • This creates a "DCT pyramid" data structure.

    • Main Results:

    • The proposed DCT pyramid coder demonstrates improved image rendition.
    • Blocking artifacts are significantly reduced, particularly at low bit-rates.
    • The method effectively creates a pyramidal representation within the DCT domain.

    Conclusions:

    • The DCT pyramid approach offers a viable solution for high-quality image compression.
    • This technique enhances image quality without introducing blocking artifacts at low bit-rates.
    • The method provides an effective way to achieve pyramidal image representation in the DCT domain.