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Additive vector decoding of transform coded images.

S W Wu1, A Gersho

  • 1Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA 93106, USA. swu@gi.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 16, 2008
PubMed
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This study introduces a novel image and video decoding method using table-lookup codebooks. This approach enhances rate-distortion performance by exploiting transform coefficient correlations, offering improved picture quality with low complexity.

Area of Science:

  • Digital image and video processing
  • Signal processing and compression

Background:

  • Standard transform coding for images and video typically requires an explicit inverse transformation for decoding.
  • Existing methods may not fully exploit correlations among quantized transform coefficients, limiting rate-distortion performance.

Purpose of the Study:

  • To develop a new decoding method for transform coded images and video that bypasses explicit inverse transformation.
  • To improve rate-distortion performance by leveraging correlations among transform coefficients.
  • To present an efficient algorithm for designing optimal codebooks for this new decoding scheme.

Main Methods:

  • A table-lookup decoding technique is proposed, where code indices address codebooks to retrieve component code vectors.
  • Image reconstruction is achieved by summing a limited number of nonzero component code vectors.

Related Experiment Videos

  • An iterative algorithm is developed for designing locally optimal codebooks using a training set of images.

    • Main Results:

    • The new decoder effectively reconstructs images by summing component code vectors, avoiding explicit inverse transforms.
    • Exploiting correlations among transform coefficients leads to superior rate-distortion performance compared to conventional methods.
    • The proposed codebook design algorithm yields locally optimal codebooks for improved decoding.

    Conclusions:

    • The novel table-lookup decoding method offers a practical and efficient alternative to conventional inverse transformations in image and video coding.
    • This approach enables the decoding of improved quality pictures from standard bitstreams with low computational complexity.
    • The developed codebook design strategy is crucial for achieving the enhanced performance of this new decoding technique.