Advertisement

A Modified Gaussian Model-Based Low Complexity Pre-processing Algorithm for H.264 Video Coding Standard

  • Won-Seon Song
  • Do-Reyng Kim
  • Seongsoo Lee
  • Min-Cheol Hong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3311)

Abstract

In this paper, we present a low complexity modified Gaussian model-based pre-processing filter to improve the performance of H.264 compressed video. Noisy video sequences captured by imaging system result in decline of coding efficiency and unpleasant coding artifacts due to higher frequency components. By incorporating local statistics and quantization parameter into filtering process, the spurious noise is significantly attenuated and coding efficiency is improved, leading to improvement of visual quality and to bit-rate saving for given quantization step size. In addition, in order to reduce the complexity of the pre-processing filter, the simplified local statistics and quantization parameter induced by analyzing H.264 transformation and quantization processes are introduced. The simulation results show the capability of the proposed algorithm.

Keywords

Discrete Cosine Transform Quantization Parameter Inverse Discrete Cosine Transform Variable Length Code Video Code Standard 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    ITU-T SG16/Q6, JVT-G050r1 Draft ITU-T Recommendation on Final Draft International Standard of Joint Video Specification (May 2003) Google Scholar
  2. 2.
    Richardson, I.E.G.: H.264 and MPEG-4 Video Compression. Wiley, Chichester (2003)CrossRefGoogle Scholar
  3. 3.
    Wiegand, T., Sullivan, G., Njontegaard, G., Lutjra, A.: Overview of the H.264/AVC Video Coding Standard. IEEE Trans. on Circuit and Systems for Video Technology 13(9), 560–576 (2003)CrossRefGoogle Scholar
  4. 4.
    Ramamurthi, B., Gersho, A.: Nonlinear Space-invariant Post Processing of Block Coded Images. IEEE Trans. on ASSP ASSP-34, 1258–1268 (1986)Google Scholar
  5. 5.
    Rosenholtz, R., Zakhor, A.: Iterative Procedures for Reduction of Blocking Effects in Transform Image Coding. IEEE Trans. on Circuits and Systems for Video Technology 2(1), 91–94 (1992)CrossRefGoogle Scholar
  6. 6.
    Yang, Y., Galatsanos, N.P., Katsaggelos, A.K.: Regularized Reconstruction to Reduce Blocking Artifacts of Block Discrete Cosine Transform Compressed Images. IEEE Trans. on Circuits and Systems for Video Technology 3(6), 421–432 (1993)CrossRefGoogle Scholar
  7. 7.
    Katsaggelos, A.K., Galatsanos, N.P. (eds.): Signal Recovery Techniques for Image and Video Compression and Transmission. Kluwer Academic Publishers, Dordrecht (1998)Google Scholar
  8. 8.
    Brailean, J.C., Kleihorst, R.P., Efstratiadis, S.N., Katsaggelos, A.K., Lagemdijk, R.L.: Noise Reduction Filters for Dynamic Image Sequences: A Review. IEEE Proceedings 83(9), 1272–1292 (1995)CrossRefGoogle Scholar
  9. 9.
    Lin, L.-J., Ortega, A.: Perceptually Based Video Rate Control Using Pre-filtering and Predicted Rate-Distortion Characteristics. In: Proceedings of the IEEE International Conference on Image Processing, pp. 57–60 (October 1997)Google Scholar
  10. 10.
    Andrew Segall, C., Karunaratne, P., Aggelos, K.K.: Preprocessing of Compressed Digital Video. In: Proceedings of the SPIE Conference on Visual Communication and Image Processing, vol. 4310, pp. 163–174 (January 2001)Google Scholar
  11. 11.
    Watson, A.B.: DCT Quantization Matrices Visually Optimized for Individual Images. In: Proceedings of the SPIE Human Vision, Visual Processing and Display IV, vol. 1913, pp. 202–216 (January 1993)Google Scholar
  12. 12.
    Katsaggelos, A.K.: Iterative Image Restoration Algorithms. Optical Engineering 28, 735–748 (1989)Google Scholar
  13. 13.
    Malvar, H.S., Hallapuro, A., Karczewicz, M., Kerofsky, L.: Low Complexity Transform and Quantization in H.264/AVC. IEEE Trans. on Circuit and Systems for Video Technology 13(7), 598–603 (2003)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Won-Seon Song
    • 1
  • Do-Reyng Kim
    • 1
  • Seongsoo Lee
    • 1
  • Min-Cheol Hong
    • 1
  1. 1.School of Electronic EngineeringSoongsil UniversityKorea

Personalised recommendations