An Efficient Fractional-Pixel Motion Compensation Based on Cubic Convolution Interpolation
Journal of Electrical and Electronic Engineering
Volume 2, Issue 3, June 2014, Pages: 47-54
Received: Aug. 31, 2014;
Accepted: Sep. 13, 2014;
Published: Sep. 20, 2014
Views 3087 Downloads 231
Lung-Jen Wang, Dept. of Computer Science and Information Engineering, National Pingtung University, Pingtung, Taiwan, R. O. C.
Chia-Tzu Shu, Dept. of Computer Science and Information Engineering, National Pingtung University, Pingtung, Taiwan, R. O. C.
The fractional-pixel motion compensation is used in the H.264/AVC algorithm, in order to improve the coding efficiency of fractional-pixel displacement, an efficient cubic convolution interpolation (CCI) with four coefficients is proposed. In this paper, the detailed derivation of the CCI filter and using CCI with fractional-pixel displacement are presented. It is shown by computer simulation that the presented method substantially reduces the computation complexity and also increases the precision of the motion compensation.
An Efficient Fractional-Pixel Motion Compensation Based on Cubic Convolution Interpolation, Journal of Electrical and Electronic Engineering.
Vol. 2, No. 3,
2014, pp. 47-54.
Z. N. Li and M. S. Drew, Fundamentals of Multimedia. Pearson Prentice Hall, 2004.
T. Wiegand, G. J. Sullivan, G. Bjontegaard, and A. Luthra, “Overview of the H.264/AVC video coding standard,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 13, no. 7, pp. 560-576, July 2003.
T. Wiegand and G. J. Sullivan, “The H.264/AVC video coding standard [Standards in a Nutshell],” IEEE Signal Processing Magazine, vol.24, no.2, pp.148-153, March 2007.
T. Wedi, “Adaptive interpolation filter for motion compensated hybrid video coding,” in Proc. Picture Coding Symposium (PCS), Seoul, Korea, Jan. 2001.
T. Wedi, “Adaptive interpolation filter for motion compensated prediction,” in Proc. IEEE International Conference on Image Processing (ICIP), Rochester, NY, pp. 502-509, Sept. 2002.
T. Wedi and H. G. Musmann, “Motion- and aliasing-compensated prediction for hybrid video coding,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 3, no. 7, pp. 577-587, Jul. 2003.
T. Wedi, “Adaptive interpolation filters and high-resolution displacements for video coding,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 16, no. 4, pp. 484-491, Apr. 2006.
Y. Vatis and J. Ostermann, “Adaptive interpolation filter for H.264/AVC,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 19, no. 2, pp. 179-192, Feb. 2009.
T. K. Truong, L. J. Wang, I. S. Reed, and W. S. Hsieh, “Image data compressing using cubic convolution spline interpolation,” IEEE Trans. on Image Processing, vol.9, no.11, pp.1988-1995, Nov. 2000.
W. K. Pratt, Digital Image Processing, second edition. John Wiley & Sons, Inc., New York, 1991.
R. G. Keys, “Cubic convolution interpolation for digital image processing,” IEEE Trans. on Acoustic, Speech, and Signal Processing, vol. 29, no.6, pp.1153-1160, Dec. 1981.
L. J. Wang and C. T. Shu, “A fast efficient fractional-pixel displacement for H.264/AVC motion compensation,” in Proc. of the 28th IEEE International Conference on Advanced Information Networking and Applications (AINA-2014), pp.25-30, Victoria, Canada, May 13-16, 2014.
H.264/AVC Reference Software Version JM18.0, available online at: http://iphome.hhi.de/suehring/tml/download/old_jm/
T. K. Tan, G. Sullivan, and T. Wedi, Recommended simulation common conditions for coding efficiency experiments, ITU-T Q.6/SC16, Doc. VCEG-AE10, Jan. 2007.
Y. Ye, G. Motta, and M. Karczewicz, “Enhanced adaptive interpolation filters for video coding,” in Proc. Data Compression Conference (DCC), pp. 435-444, March 2010.
M. Unser, A. Aldroubi, and M. Eden, “B-spline signal processing: Part II-Efficient design and applications,” IEEE Trans. Signal Processing, vol. 41, pp. 834-848, Feb. 1993.
I. S. Reed and A. Yu, Optimal Spline Interpolation for Image Compression, United States Patent, No. 5822456, Oct. 13, 1998.
L. J. Wang, W. S. Hsieh, T. K. Truong, I. S. Reed, T. C. Cheng, “A fast efficient computation of cubic-spline interpolation in image codec,” IEEE Trans. on Signal Processing, vol.49, no.6, pp.1189-1197, June 2001.