Wasim Khan, Tabrez Khan


in this paper we propose a new edge-retaining algorithm for block artifact reduction. We have classified the pixels to categorize every pixel into one amongst two categories, particularly edge region and smooth region and then Edge-Retaining maps are used to describe these regions. Finally, A Two-step adaptive filter, based on these maps and incorporating offset filtering and edge retaining filtering is used for removing the block artifacts. Experimental Results prove that our proposed edge retaining algorithm adequately reduces block artifacts while conserving the details and the Peak to Signal Noise Ratio (PSNR) performance is better than that of various previous algorithms which use block classification.


Deblocking filter,Classification,offset filter, edge-retaining filter, adaptive filter.

Full Text:



ISO/IEC 13818-2, “Generic Coding of Moving Pictures and Associated Audio Information,” Part 2: Video, Nov. 1994.

MPEG Video Group, “MPEG-4 Video Verification Model Version 8.0,” ISO/IEC JTC1/SC29/WG11 N1796, July 1997.

Joint Video Team of ITU-T and ISO/IEC JTC 1, “Draft ITU-T Recommendation and Final Draft International Standard of Joint Video Specification,” (ITU-T Rec. H.264—ISO/IEC 14496-10 AVC), May 2003.

J. Kim, M. Choi, and J. Jeong, “Reduction of Blocking Artifacts for HDTV Using Offset-and-Shift Technique,” IEEE Trans. Consum. Electron., vol. 53, no. 4, Nov. 2007, pp. 1736-1743.

L. Shao and I. Kirenko, “Coding Artifact Reduction Based on Local Entropy Analysis,” IEEE Trans. Consum. Electron., vol. 53, no. 2, May 2007, pp. 691-696.

A.Z. Averbuch, A. Schclar, and D.L. Donoho, “Deblocking of Block-Transform Compressed Images Using Weighted Sums of Symmetrically Aligned Pixels,” IEEE Trans. Image Process., vol. 14, no. 2, Feb. 2005, pp. 200-212.

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.

Z. Li and E.J. Delp, “Block Artifact Reduction Using a Transform-Domain Markov Random Field Model,” IEEE Trans. Cir. Sys. Video Technol., vol. 15, no. 12, Dec. 2005, pp. 1583- 1593.

J.J. Zou and H. Yan, “A Deblocking Method for BDCT Compressed Images Based on Adaptive Projections,” IEEE Trans. Cir. Sys. Video Technol., vol. 15, no. 3, Mar. 2005, pp. 430-435.

G.R. Kwon et al., “An Efficient POCS-Based Post-Processing Technique Using Wavelet Transform in HDTV,” IEEE Trans. Cons. Elec., vol. 51, no. 4, Nov. 2005, pp. 1283-1290.

Y. Zhao, G. Cheng, and S. Yu, “Postprocessing Technique for Blocking Artifacts Reduction in DCT Domain,” Electron. Lett, vol. 40, no. 19, Sept. 2004, pp. 1175-1176.

Y. Luo and R.K. Ward, “Removing the Blocking Artifacts of Block-Based DCT Compressed Images,” IEEE Trans. Image Process., vol. 12, no. 7, Jul. 2003, pp. 838-842.

H. Choi and T. Kim, “Blocking-Artifact Reduction in Block- Coded Images Using Wavelet-Based Subband Decomposition,” IEEE Trans. Cir. Sys. Video Technol., vol. 10, no. 5, Aug. 2000, pp. 801-805.

N.C. Kim et al., “Reduction of Blocking Artifact in Block-Coded Images Using Wavelet Transform,” IEEE Trans. Cir. Sys. Video Technol., vol. 8, no. 3, June 1998, pp. 253-257.

C. Tomasi and R. Manduchi, “Bilateral Filtering for Gray and color Images,” Proc. IEEE Int. Conf. Comput. Vision, 1998, pp. 59-66.



  • There are currently no refbacks.

Copyright (c) 2018 International Journal of Advanced Research in Computer Science