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Adaptive directional lifting-based wavelet transform for image coding.

Wenpeng Ding1, Feng Wu, Xiaolin Wu

  • 1Department of Computer Science, University of Science and Technology of China, Hefei 230027. wpding3@mail.ustc.edu.cn

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 3, 2007
PubMed
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We introduce adaptive directional lifting (ADL), a new 2-D wavelet transform for image coding. ADL improves image quality and outperforms JPEG 2000 by adapting to local image features for better directional prediction.

Area of Science:

  • Digital image processing
  • Signal processing
  • Computer vision

Background:

  • Traditional image coding methods often struggle with efficiently representing images containing complex orientation features.
  • Existing wavelet transform schemes typically use fixed horizontal and vertical lifting steps, limiting adaptation to local image content.

Purpose of the Study:

  • To develop a novel 2-D wavelet transform scheme, adaptive directional lifting (ADL), for enhanced image coding performance.
  • To improve image representation by adapting to local image orientation features.

Main Methods:

  • Implemented a lifting-based prediction scheme that operates in local windows along the direction of high pixel correlation.
  • Integrated ADL with existing 1-D wavelets into a global wavelet transform framework.

Related Experiment Videos

  • Proposed a rate-distortion optimized directional segmentation scheme for hierarchical image partitioning.

    • Main Results:

    • ADL demonstrated superior adaptation to image orientation features compared to standard lifting schemes.
    • The technique achieved high directional resolution and perfect reconstruction, even at fractional pixel precision.
    • ADL-based image coding outperformed JPEG 2000 in both Peak Signal-to-Noise Ratio (PSNR) and visual quality, with gains up to 2.0 dB.

    Conclusions:

    • Adaptive directional lifting (ADL) offers a significant advancement in 2-D wavelet transform for image coding.
    • The proposed method effectively captures local image features, leading to improved compression efficiency and visual quality.
    • ADL represents a promising approach for next-generation image compression standards.