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Content Analysis-based Adaptive Filtering in The Compressed Satellite Images  

Choi, Tae-Hyeon (Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University)
Ji, Jeong-Min (Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University)
Park, Joon-Hoon (Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University)
Choi, Myung-Jin (Korea Aerospace Research Institute)
Lee, Sang-Keun (Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.48, no.5, 2011 , pp. 84-95 More about this Journal
Abstract
In this paper, we present a deblocking algorithm that removes grid and staircase noises, which are called "blocking artifacts", occurred in the compressed satellite images. Particularly, the given satellite images are compressed with equal quantization coefficients in row according to region complexity, and more complicated regions are compressed more. However, this approach has a problem that relatively less complicated regions within the same row of complicated regions have blocking artifacts. Removing these artifacts with a general deblocking algorithm can blur complex and undesired regions as well. Additionally, the general filter lacks in preserving the curved edges. Therefore, the proposed algorithm presents an adaptive filtering scheme for removing blocking artifacts while preserving the image details including curved edges using the given quantization step size and content analysis. Particularly, WLFPCA (weighted lowpass filter using principle component analysis) is employed to reduce the artifacts around edges. Experimental results showed that the proposed method outperforms SA-DCT in terms of subjective image quality.
Keywords
Deblocking filter; PCA; Zero Crossing;
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1 P.-S. Yeh, "Implementation of CCSDS lossless data compression for space and data archival applications", Proceedings of the Space Operations Conference, 2002.
2 G. Yua, T. Vladimirovaa, and M.N. Sweeting, "Image compression systems on board satellites", Acta Astronautica, Vol. 64, Issues 9-10, pp. 988-1005, 2009.   DOI   ScienceOn
3 G.A. Moury, C. Latry, "In-orbit commissioning of SPOT5 image compression function", Proceedings of the SPIE on Earth Observing Systems VIII, vol.5151, pp.540-551, 2003.
4 D.H. Lee, D.C. Seo, J.H. Song, M.J. Choi, H.S. Lim, "Summary of Calibration and Validation for KOMPSAT-2," International Society for Photogrammetry and Remote Sensing, vol.XXXVII, Part B1, pp.53, 2008.
5 Y. L. Lee, H. C. Kim, and H. W. Park, "Blocking effect reduction of JPEG images by signal adaptive filtering," IEEE Transaction on Image Processing, vol. 7, pp. 229-234, 1998.   DOI   ScienceOn
6 M-Y. Shen and C.-C. J. Kuo, "Review of postprocessing techniques for artifact removal," journal of Visual Communication and Image Representation, 9(1), pp. 2-14, 1998.   DOI   ScienceOn
7 G. Zhai, W. Lin, J. Cai, X. Yang, W. Zhang, "Efficient quadtree based block-shift filtering for deblocking and deranging," journal of Visual Communication Image Representation, no. 20, pp.595-607, 2009.   DOI   ScienceOn
8 G.K. Wallace, "The JPEG still picture compression standard," IEEE Transaction on Consumer Electronics, vol.38, no. 1, pp. 108-124, 1992.   DOI
9 Motion Picture Experts Group, "MPEG test model 5 draft revision 2," 1993.
10 Information Technology-JPEG2000 Image Coding Systems, Final Committee Draft Version 1.0, ISO/IEC JTC 1/SC 29/WG 1 N1646R, 2000
11 A. Foi, V. Katkovnik, and K. Egiazarian, "Point shape-adaptive DCT for high-quality denoising and deblocking of grayscale and color images," IEEE Transaction on image processing, vol. 16, pp. 1395-1411, 2007.   DOI
12 H. Paek, R.C. Kim, and S.U. Lee, "On the POCS-based postprocessing techniques to reduce the blocking artifacts in transform coded images," IEEE Transaction on Circuits System. Video Technology, vol. 8, pp. 358-367, 1998.   DOI   ScienceOn
13 B. Ramamurthi and A. Gersho, "Nonlinear space-variant postprocessing of block coded images", IEEE Transaction on Acoustic, Speech, Signal Processing, vol. ASSP-34, pp.1258-1268, 1986.
14 H.C. Kim and H. W. Park, "Signal adaptive postprocessing for deblocking effects reduction in JPEG image", Proceedings of International Conference on Image Processing, vol. 2, pp. 41-44, 1996.
15 D. Sun, and W. Cham, "Postprocessing of low bit-rate block DCT coded images based on a fields of experts prior," IEEE Transaction on Circuits System Video Technology, Vol.16, pp. 2743-2751, 2007.
16 M. Nakagawa, M. Sasaki, Y. Ishizawa, "DCT-based still image compression ICS with bit-rate control", IEEE Transaction on Consumer Electronics, Vol. 38, pp. 711-717, 1992.   DOI   ScienceOn
17 Z. Wang, A.C. Bovik, Hamid R. Sheikh and Eero P. Simoncelli, "Image quality assessment: from error visibility to structural similarity," IEEE Transaction on image processing, vol. 13, pp. 600-612, 2004.   DOI   ScienceOn
18 S.K. Lee, "Edge statistics-based image scale ratio and noise strength estimation in DCT-coded images," IEEE Transactions on Consumer Electronics, vol. 55, pp. 2139-2144, 2009.   DOI
19 S.K. Lee, "Simple deblocking algorithm in the compressed domain for real-time application," Optical engineering, 47(6), 067001, 2008.   DOI   ScienceOn
20 Rafael C. Gonzales, Richard E. Woods, Steven L. Eddins, "Digital image processing using MATLAB," Prentice-Hall, 2004.