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Related Experiment Video

Updated: May 28, 2026

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

Jointly optimized spatial prediction and block transform for video and image coding.

Jingning Han1, Ankur Saxena, Vinay Melkote

  • 1Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA 93106, USA. jingning@ece.ucsb.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|October 4, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive asymmetric discrete sine transform (ADST) for video and image compression. It significantly improves compression efficiency and reduces blocking artifacts compared to standard methods.

Related Experiment Videos

Last Updated: May 28, 2026

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

Area of Science:

  • Digital image and video compression
  • Signal processing
  • Information theory

Background:

  • Traditional video compression relies on fixed transforms like DCT, which may not be optimal for all image signal characteristics.
  • Spatial prediction and transform selection are often optimized independently, limiting overall compression efficiency.
  • Boundary information in image signals can be leveraged for more efficient compression.

Purpose of the Study:

  • To develop a novel approach for jointly optimizing spatial prediction and transform selection in video and image compression.
  • To introduce an adaptive transform that improves compression efficiency and reduces artifacts by considering boundary information.
  • To implement and evaluate the proposed scheme within the H.264/AVC intra-coding framework.

Main Methods:

  • Approximation of the optimal Karhunen-Loeve Transform using a variant of the discrete sine transform (DST) called asymmetric DST (ADST).
  • Development of an intraframe coding scheme that adaptively switches between ADST and discrete cosine transform (DCT) based on prediction direction and boundary information.
  • Implementation of an integer version of the ADST for practical applications.
  • Experimental evaluation within the H.264/AVC intra-mode framework.

Main Results:

  • The asymmetric DST (ADST) provides significantly improved compression efficiency over the traditional discrete cosine transform (DCT) under ideal model conditions.
  • The proposed adaptive prediction and transform scheme significantly outperforms the standard H.264/AVC intra coding mode.
  • Substantial reduction in blocking artifacts is achieved due to the transform adapting to block edge statistics.
  • An integer version of the ADST is proposed, enabling practical implementation.

Conclusions:

  • The proposed adaptive asymmetric DST (ADST) offers superior compression performance and artifact reduction for video and image compression.
  • Joint optimization of spatial prediction and transform selection, incorporating boundary information, is crucial for advanced compression techniques.
  • The adaptive scheme demonstrates significant advantages over standard intra coding methods in H.264/AVC and related frameworks.