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http://dx.doi.org/10.6109/jkiice.2013.17.7.1687

Adaptive Postprocessing Technique for Compressed Images using Directional Activity-based Block Analysis  

Kim, Jongho (Department of Multimedia Engineering, Sunchon National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.17, no.7, 2013 , pp. 1687-1693 More about this Journal
Abstract
This paper addresses an adaptive postprocessing technique to remove blocking effects of the highly compressed images. The proposed technique removes blocking effects selectively by applying filters with different strength according to block analysis based on the directional activity. One-dimensional filters which are used to remove grid noises accomplish the adaptive filtering to the signal itself as well as to the directionality of the block. Moreover, we propose a detection method of the staircase noises and corner outliers and a two-dimensional directional filter to remove them. Experimental results for various images and bitrates show that the proposed method outperforms the conventional methods in PSNR for the objective performance and GBIM for the subjective quality evaluation.
Keywords
Adaptive filtering; Blocking effect; Directional activity; Image compression; Postprocessing;
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  • Reference
1 W. B. Pennebaker and J. L. Mitchell, JPEG Still Image Data Compression Standard, New York, NY: Van Nostrand, 1993.
2 ISO/IEC 11172-2, Information Technology - Coding of Moving Pictures and Associated Audio for Digital Storage Media at up to 1.5Mbits/s: Video, ISO/IEC JTC1, New York, NY, 1993.
3 ISO/IEC 13818-2, Information Technology - Generic Coding of Moving Pictures and Associated Audio Information: Video, ISO/IEC JTC1, New York, NY, 1994.
4 ISO/IEC 14496-2, Information Technology - Coding of Audio-Visual Objects: Visual, ISO/IEC JTC1, New York, NY, 1998.
5 ISO/IEC 14496-10, Information Technology - Coding of Audio-Visual Objects: Advanced Video Coding, ISO/IEC JTC1, New York, NY, 2003.
6 J.-R. Ohm, Multimedia Communication Technology, Berlin, Germany: Springer-Verlag, 2004.
7 J. Kim, "Adaptive blocking artifact reduction using Wavelet-based block analysis," IEEE Trans. Consumer Electronics, vol. 55, no. 2, pp. 933-940, May 2009.   DOI   ScienceOn
8 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 Processing, vol. 14, no. 2, pp. 200-212, Feb. 2005.   DOI   ScienceOn
9 T. Chen, H. R. Wu, and B. Qiu, "Adaptive postfiltering of transform coefficients for the reduction of blocking artifacts," IEEE Trans. Circuits and Systems for Video Technology, vol. 11, no. 5, pp. 584-602, Aug. 2001.
10 A. Zakhor, "Iterative procedures for reduction of blocking artifacts in transform image coding," IEEE Trans. Circuits and Systems for Video Technology, vol. 2, no. 2, pp. 91-95, Mar. 1992   DOI   ScienceOn
11 Independent JPEG Group's JPEG Software. [Online]. Available: ftp.uu.net:/graphics/jpeg/jpegsrc.v6b.tar.gz.
12 H. R. Wu and M. Yuen, "A generalized block-edge impairment metric for video coding," IEEE Signal Processing Letters, vol. 4, no. 11, pp. 317-320, Nov. 1997.   DOI   ScienceOn