Spatio-temporal scalability based on motion-compensated DCT temporal filters

  • Authors:

  • Randa Atta;Rawya Rizk;Mohammad Ghanbari

  • Affiliations:

  • Electrical Engineering Department, Suez Canal University, Port Said, Port Fouad, Egypt;Electrical Engineering Department, Suez Canal University, Port Said, Port Fouad, Egypt;School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

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Abstract

In this paper, a motion compensated temporal filtering (MCTF) framework based on the discrete cosine transform (DCT) is proposed and named MCDCT-TF. It is able to employ filters of any length with particular emphasis on 5/3 DCT and 7/4 DCT. The proposed MCDCT-TF and the two-dimensional (2-D) DCT decimation technique are incorporated into H.264/AVC to provide spatio-temporal scalability. Compared with the current MCTF schemes such as Haar, and 5/3 wavelet filters, simulation results show that the proposed MCDCT-TF utilizing longer tap DCT filters achieves a significant improvement in coding gain. Moreover, the performance gap between the presented scalable video coding and the single layer H.264/AVC is small. However, the presented spatio-temporal coding scheme outperforms the spatio-temporal supported in JSVM.