Improved Method for the Macroblock-Level Deblocking Scheme

ETRI Journal

关键词: computational complexity;    deblocking filter;    blocking artifact;    H264/AVC;   

Others  :  1186132
DOI  :  10.4218/etrij.11.0110.0205

【 摘 要 】

This paper presents a deblocking method for video compression in which the blocking artifacts are effectively extracted and eliminated based on both spatial and frequency domain operations. Firstly, we use a probabilistic approach to analyze the performance of the conventional macroblock-level deblocking scheme. Then, based on the results of the analysis, an algorithm to reduce the computational complexity is introduced. Experimental results show that the proposed algorithm outperforms the conventional video coding methods in terms of computation complexity while coding efficiency is maintained.

   

【 参考文献 】

• [1]C.J. Kuo and R.J. Hsieh, "Adaptive Postprocessor for Block Encoded Images," IEEE Trans. Circuits Syst. Video Technol., vol. 5, no. 4, Aug. 1995, pp. 298-304.
• [2]Y.L. Lee, H.C. Kim, and H.W. Park, "Blocking Effect Reduction of JPEG Images by Signal Adaptive Filtering," IEEE Trans. Image Process., vol. 7, no. 2, Feb. 1998, pp. 229-234.
• [3]J.G. Apostolopoulos and N.S. Jayant, "Postprocessing for Very Low Bit-Rate Video Compression," IEEE Trans. Image Process., vol. 8, no. 8, Aug. 1999, pp. 1125-1129.
• [4]A.S. Al-Fohoum and A.M. Reza, "Combined Edge Crispiness and Statistical Differencing for Deblocking JPEG Compressed Images," IEEE Trans. Image Process., vol. 10, no. 9, Sept. 2001, pp. 1288-1298.
• [5]P. List et al., "Adaptive Deblocking Filter," IEEE Trans. Circuits Syst. Video Technol., vol. 13, no. 7, July 2003, pp. 614-619.
• [6]Y. Chiu and L. Xu, "Adaptive (Wiener) Filter for Video Compression," ITU-T SG16 Q.6 Document, VCEG-AI14, Berlin, July 2008.
• [7]Y. Huang et al., "Adaptive Quadtree-based Multi-reference Loop Filter," ITU-T SG16 Q.6, VCEG-AK24, Japan, Apr. 2009.
• [8]B. Zeng, "Reduction of Blocking Effect in DCT-Coded Images Using Zero-Masking Techniques," Signal Process., vol. 79, no. 2, Dec. 1999, pp. 205-211.
• [9]T. Chen, H.R. Wu, and B. Qiu, "Adaptive Postfiltering of Transform Coefficients for the Reduction of Blocking Artifacts," IEEE Trans. Circuits Syst. Video Technol., vol. 11, no. 5, May 2001, pp. 594-602.
• [10]L. Shizhong and A.C. Bovik, "Efficient DCT-Domain Blind Measurement and Reduction of Blocking Artifacts," IEEE Trans. Circuits Syst. Video Technol., vol. 12, no. 12, Dec. 2002, pp. 1139-1149.
• [11]L. Ying and R.K. Ward, "Removing the Blocking Artifacts of Block-based DCT Compressed Images," IEEE Trans. Image Process., vol. 12, no. 7, July 2003, pp. 838-842.
• [12]G. Zhai et al., "Efficient Deblocking With Coefficient Regularization, Shape-Adaptive Filtering, and Quantization Constraint," IEEE Trans. Multimedia, vol. 10, no. 5, Aug. 2008, pp. 735-745.
• [13]Joint Video Team (JVT) of ISO/IEC MPEGITU-T VCEG, "Draft ITU-T Recommendation and Final Draft International Standard of Joint Video Specification (ITU-T rec. H.264-ISO/IEF 14496-10 AVC)," JVT-G050, Mar. 2003.
• [14]T.H. Le et al., "Macroblock-Level Deblocking Method to Improve Coding Efficiency for H.264/AVC," ETRI J., vol. 32, no. 2, Apr. 2010, pp. 336-338.
• [15]S.R. Smoot and L.A. Rowe, "Study of DCT Coefficient Distribution," Proc. SPIE Symp. Electronic Imaging, vol. 2657, San Jose, CA, Jan. 1996.
• [16]A. Hallapuro et al., "Low Complexity Transform and Quantization – Part I: Basic Implementation," JVT document JVT-B038, Geneva, Feb. 2002.
• [17]N. Balakfishnan and C.D. Cutler, "Maximum Likelihood Estimation of the Laplace Parameters Based on Type-II Censored Samples," Statistical Theory and Applications: Papers in Honor of Herbert A. David, Eds. H.N. Nagaraja, P.K. Sen, and D.F. Morrison, 1995, pp. 145-151.
• [18]Joint Video Team (JVT), KTA Reference Software. Available: http://iphome.hhi.de/suehring/tml/kta/.
• [19]G. Bjøntegaard, "Calculation of Average PSNR Differences between RD-Curves," ITU-T SG16 Q.6 Document, VCEG-M33, Austin, Apr. 2001.