International Journal of Research in Signal Processing, Computing & Communication System Design

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Pattern Analysis Through Edge for the Reduction of Artifact of Decompressed Image in DCT Domain


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1 School of Computer Applications, Lovely Professional University, Phagwara, Punjab, India
     

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In this paper, we present a simple and effective approach for measurement of blocking artifact with optimal 2-D step function. First, a simple edge detection technique is designed for the measurement of blocking artifacts. Based on the visibility of blocking artifact in the edge image, optimal 2-D step function is chosen. In frequency domain, blocking artifact reduction algorithm is designed to extract all the parameters needed to detect the presence of blocking artifacts and replace optimal step function with ramp function by changing the coefficient of first row of horizontal blocks with the coefficient of shifted block. The proposed technique is experimented on various standard benchmark images and found to have improvement in the perceptual quality of the JPEG compressed images after removal of blocking artifact with the proposed method.

Keywords

Blocking Artifact, DCT, Edge Detection, Step Function.
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  • A. Z. Averbuch, A. Schclar, and D. L. Donoho, “Deblocking of block-transform compressed images using weighted sums of symmetrically aligned pixels,” IEEE Transactions on Image Processing, vol. 14, no. 2, pp. 200-212, February 2005.

  • A. Katsaggelos, and N. Galatsanos, Signal Recovery Techniques for Image and Video Compression and Transmission, Springer Science & Business Media, 1998.

  • A. L. Bovik, Handbook of Image & Video Processing, San Diego, CA: Academic, 2000.

  • B. Ramamurthi, and A. Gresho, “Nonlinear space-variant postprocessing of block coded images,” IEEE Transaction on Acoustics, Speech and Signal Processing, vol. 34, no. 5, pp. 1258-1268, October 1986.

  • B. Zeng, “Reduction of blocking effect in DCT-coded images using zero-masking techniques,” Signal Processing, vol. 79, no. 2, pp. 205-211, December 1999.

  • B. Jeon, and J. Jeong, “Blocking artifacts reduction in image compression with block boundary discontinuity criterion,” IEEE Transaction on Circuits and Systems for Video Technology, vol. 8, no. 3, pp. 345-357, June 1998.

  • C.-S. Park, J.-H. Kim, and S.-J. Ko, “Fast blind measurement of blocking artifacts in both pixel and DCT domain,” Journal of Mathematical Imaging and Vision, vol. 28, no. 3, pp. 279-284, July 2007.

  • C. Wang, W.-J. Zhang, and X.-Z. Fang, “Adaptive reduction of blocking artifacts in DCT domain for highly compressed images,” IEEE Transactions on Consumer Electronics, vol. 50, no. 2, pp. 647-654, 2004.

  • F. Pan, X. Lin, S. Ranardja, E. P. Ong, and W. S. Lin, “Using edge direction information for measuring blocking artifacts of images,” Multidimensional System and Signal Processing, vol. 18, no. 4, pp. 297-308, December 2007.

  • F. X. Coudoux, M. Gzalet, and P. Corlary, “Reduction of blocking effecting DCT-coded images based on a visual perception criterion,” Signal Processing and Image Communication, vol. 11, pp. 179-186, 1998.

  • G. K. Wallace, “The JPEG still-picture compression standard,” Communications of the ACM, vol. 34, no. 4, pp. 30-44, April 1991.

  • G. A. Triantafyllidis, D. Tzovaras, and M. G. Strintzis, “Blocking artifact detection and reduction in compressed data,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 12, no. 10, pp. 877-889, October 2002.

  • G. Cote, B. Erol, M. Gallant, and F. Kossentini, “H.263+: Video coding at low bit rates,” IEEE Transactions on Circuits Systems and Video Technology, vol. 8, no. 7, pp. 849-866, November 1998.

  • G. Zhai, W. Znag, X. Yang, W. Lin, and Y. Xu, “Efficient image deblocking based on postfiltering in shifted windows,” IEEE Transactions on Circuits Systems for Video Technology, vol. 18, no. 1, pp. 122-126, January 2008.

  • H. Paek, R.-C. Kim, and S.-U. Lee, “A DCT-based spatially adaptive post-processing technique to reduce the blocking artifacts in transform coded images,” IEEE Transactions on Circuits Systems for Video Technology, vol. 10, no. 1, pp. 36-41, February 2000.

  • I. H. Jang, N. C. Kim, and H. J. Sob, “Iterative blocking artifact reduction using a minimum mean square error filter in wavelet domain,” Signal Processing, vol. 83, no. 12, pp. 2607-2619, December 2003.

  • J. Singh, S. Singh, D. Singh, and M. Uddin, “A signal adaptive filter for blocking artifact reduction of JPEG compressed image,” International Journal of Electronics and Communications, vol. 65, pp. 827-839, October 2011.

  • J. Yang, H. Choi, and T. Kim, “Noise estimation for blocking artifacts reduction in DCT coded images,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 10, no. 7, pp. 1116-1120, October 2000.

  • J. J. Zon, and H. Yan, “A deblocking method for BDCT compressed images based on adaptive projections,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 15, no. 3, pp. 430-435, March 2005.

  • J. Luo, C. W. Chen, K. J. Parkar, and T. S. Huang, “Artifact reduction in low bit rate DCT-based image compression,” IEEE Transactions on Image Processing, vol. 5, no. 9, pp. 1363-1368, September 1996.

  • K. S. Randhawa, and P. Kumar, “A novel approach for blocking artifact reduction in JPEG compressed images,” International Journal of Emerging Technology and Advanced Engineering, vol. 2, no. 2, pp. 150-157, February 2012.

  • M.-Y. Shen, and C.-C. J. Kuo, “Review of postprocessing techniques for compression artifact removal,” Journal of Visual Communication and Image Representation, vol. 9, no. 1, pp. 2-14, March 1998.

  • N. C. Kim, I. H. Jang, D. H. Kim, and W. H. Hong, “Reduction of blocking artifact in block-coded images using wavelet transform,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 8, no. 3, pp. 253-257, June 1998.

  • S. Liu, and A. C. Bovik, “Efficient DCT-domain blind measurement and reduction of blocking artifacts,” IEEE Transaction on Circuits and Systems for Video Technology, vol. 12, no. 12, pp. 1139-1149, December 2002.

  • S. Liu, and A. C. Bovik, “DCT-domain blind measurement of blocking artifacts in DCT-coded images,” 2001 Proceedings (ICASSP ‘01). 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 3, pp. 1725-1728, December 2001.

  • S. Tongbram, T. I. Devi, and Y. N. Singh, “Implementing a new algorithm to reduce block artifacts in DCT coded images,” International Journal of Scientific and Research Publications, vol. 4, no. 4, April 2014.

  • T. Chen, H. R. Wu, and B. Qiu, “Adaptive postfiltering of transform coefficient for the reduction of transform coefficient for the reduction of blocking artifacts,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 11, no. 5, pp. 594-602, May 2001.

  • T. Meier, K. N. Ngan, and G. Crebbin, “Reduction of blocking artifacts in image and video coding,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 9, no. 3, pp. 490-500, April 1999.

  • T. P. O’Rourke, and R. L. Stevenson, “Improved image decompression for reduced transform coding artifacts,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 5, no. 6, pp. 490-499, December 1995.

  • Y.-F. Hsu, and Y.-C. Chen, “A new adaptive separable median filter for removing blocking effect,” IEEE Transactions on Consumer Electronics, vol. 39, no. 3, pp. 510-513, June 1993.

  • Y. Yang, N. P. Galatsanos, and A. K. Katsaggelos, “Regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed images,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 3, no. 6, pp. 421-432, December 1993.

  • Y.-Y. Chen, Y.-W. Chang, and W.-C. Yen, “Design a deblocking filter with three separate modes in DCT-based coding,” Journal of Visual Communication and Image Representation, vol. 19, no. 4, pp. 231-244, May 2008.

  • Y. Luo, and R. K. Ward, “Removing the blocking artifacts of block-based DCT compressed images,” IEEE Transactions on Image Processing, vol. 12, no. 7, pp. 838-842, July 2003.

  • W.-B. Zhao, Y.-S. Zhang, and Z.-H. Zhou, “Adaptive blocking artifacts reduction algorithm based on DCT-domain,” Proceedings of the Fifth International Conference on Machine Learning and Cybernetics, Dalian, pp. 3909-3913, 2006.

  • W. Gao, C. Mermer, and Y. Kim, “A de-blocking algorithm and a blockiness metric for highly compressed images,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 12, no. 12, pp. 1150-1159, December 2002.


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  • Pattern Analysis Through Edge for the Reduction of Artifact of Decompressed Image in DCT Domain

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Authors

Anupama
School of Computer Applications, Lovely Professional University, Phagwara, Punjab, India
Anu Priya
School of Computer Applications, Lovely Professional University, Phagwara, Punjab, India

Abstract


In this paper, we present a simple and effective approach for measurement of blocking artifact with optimal 2-D step function. First, a simple edge detection technique is designed for the measurement of blocking artifacts. Based on the visibility of blocking artifact in the edge image, optimal 2-D step function is chosen. In frequency domain, blocking artifact reduction algorithm is designed to extract all the parameters needed to detect the presence of blocking artifacts and replace optimal step function with ramp function by changing the coefficient of first row of horizontal blocks with the coefficient of shifted block. The proposed technique is experimented on various standard benchmark images and found to have improvement in the perceptual quality of the JPEG compressed images after removal of blocking artifact with the proposed method.

Keywords


Blocking Artifact, DCT, Edge Detection, Step Function.

References