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Fractional-pel Accurate Motion-Adaptive Transforms.

Du Liu, Markus Flierl

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |January 1, 2019
    PubMed
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    This study introduces a new fractional-pel motion-adaptive transform (MAT) for video coding, improving accuracy over integer MAT and half-pel MCOT. The enhanced transform achieves significant gains in peak signal-to-noise ratio (PSNR).

    Area of Science:

    • Digital Signal Processing
    • Video Compression Technologies
    • Image and Video Processing

    Background:

    • Fractional-pel accuracy is crucial for advanced video coding but poses challenges for temporal transforms.
    • Existing integer accurate motion-adaptive transforms (MAT) have limitations in handling complex motion fields.
    • Previous work established integer MAT for motion-connected coefficients.

    Purpose of the Study:

    • To extend integer MAT to handle fractional-pel accuracy in video coding.
    • To develop a transform that accommodates multiple references and generates multiple lowband coefficients.
    • To integrate general interpolation filters into the transform basis for improved prediction error handling.

    Main Methods:

    • Developed a fractional-pel motion-adaptive transform (MAT) by extending integer MAT.

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  • Designed the transform to permit multiple references and generate multiple lowband coefficients.
  • Incorporated general interpolation filters into the basis vectors, ensuring orthonormality and energy preservation.

    • Main Results:

    • The proposed fractional-pel MAT was compared against integer MAT and half-pel motion-compensated orthogonal transform (MCOT).
    • HEVC intra coding was utilized to encode temporal subbands for performance evaluation.
    • Experimental results demonstrated that the fractional-pel MAT outperformed both integer MAT and half-pel MCOT.

    Conclusions:

    • The proposed fractional-pel MAT offers superior performance in video coding applications requiring precise motion estimation.
    • The enhanced transform achieves gains of up to 1dB in PSNR compared to the integer MAT.
    • This advancement addresses the challenges of fractional-pel accuracy in subband coding with temporal transforms.