Efficient Conversion of DCT Coefficients to H.264 Transform Coefficients Using Lapped Transforms

  • Lee, Chang-Woo (School of Information, Communications and Electronics Engineering, The Catholic University of Korea)
  • 이창우 (가톨릭대학교 정보통신전자공학부)
  • Published : 2007.07.31

Abstract

In order to convert MPEG-2 into H.264 format in ubiquitous communication environments, the efficient conversion of the discrete cosine transform (DCT) coefficients to H.264 transform coefficients is essential. In this paper, two efficient conversion systems are proposed. The proposed systems are composed of two parts. In the first part, the DCT coefficients are denoised using the lapped transform (LT) to reduce the quantization noises and blocking effects. In the second part, the denoised DCT coefficients are converted into the integer transform (IT) coefficients of H.264. Simulation results show that the proposed methods provide visually fine images. Moreover, the computational complexity of the proposed method is reduced compared with the conventional method, since the number of the DCT coefficients, which should be converted, is reduced in the first part.

Keywords

References

  1. S. F. Chang and A. Vetro, 'Video adaptation: concepts, technologies and open issues,' Proceedings of the IEEE, Vol. 93, pp.148-158, 2003
  2. A. Vetro, C. Christopoulos and H. Sun, 'Video transcoding architectures and techniques: An overview,' IEEE Signal Processing Magazine, Vol. 20, pp.18-29, 2003 https://doi.org/10.1109/MSP.2003.1184336
  3. G. F. Escribano, P. Cuenca, L. O. Barbosa and A. Garrido, 'A fast intra-frame prediction algorithm for MPEG-2/H.264 video transcoders,' IEEE International Conference on Image Processing, pp.III.684-III.687, 2005
  4. X. Lu, A. M. Tourapis, P. Yin and J. Boyce, 'Fast mode decision and motion estimation for H.264 with a focus on MPEG-2/H.264 transcoding,' IEEE Symposium on Circuits and Systems, pp.II.1246-II.1249, 2005
  5. Y. Su, J. Xin, A. Vetro and H. Sun, 'Efficient MPEG-2 to H.264/AVC intra transcoding in transform-domain,' IEEE Symposium on Circuits and Systems, pp.II.1234-II.1237, 2005
  6. J. Xin, A. Vetro and H. Sun, 'Converting DCT coefficients to H.264/AVC transform coefficients,' Lecture Notes in Computer Science, Vol. 3332, pp.939-946, 2004
  7. C. Y. Park and N. I. Cho, 'A fast algorithm for the conversion of DCT coefficients to H.264 transform coefficients,' IEEE International Conference on Image Processing, pp.III.664-III.667, 2005
  8. K. T. Fung and W. C. Siu, 'Conversion between DCT coefficients and IT coefficients in the compressed domain for H.263 to H.264 video transcoding,' IEEE International Conference on Image Processing, pp.III.57-III.60, 2005
  9. C. W. Lee and H. Ko, 'Arbitrary resizing of images in DCT domain using lapped transforms,' Electronics Letters, Vol. 41, pp.1319-1320, 2005 https://doi.org/10.1049/el:20052749
  10. T. D. Tran, 'The LiftLT: Fast-lapped transforms via lifting steps,' IEEE Trans. Signal Processing Letters, Vol. 7, pp.145-148, 2000 https://doi.org/10.1109/97.844634
  11. H. S. Malvar, 'Lapped transforms for efficient transform/subband coding,' IEEE Trans. Acoust., Speech, Signal Processing, Vol. 38, pp. 969-978, 1990 https://doi.org/10.1109/29.56057