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Enhancement of JPEG-Compressed Images by Re-application of JPEG

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Abstract

A novel method is proposed for post-processing of JPEG-encoded images, in order to reduce coding artifacts and enhance visual quality. Our method simply re-applies JPEG to the shifted versions of the already-compressed image, and forms an average. This approach, despite its simplicity, offers better performance than other known methods, including those based on nonlinear filtering, POCS, and redundant wavelets.

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References

  1. H.C. Reeves and J.S. Lim, “Reduction of Blocking Artifacts in Image Coding, ” Optical Engineering, vol. 23, 1984, pp. 34–37.

    Google Scholar 

  2. B. Ramamurthi and A. Gersho, “Nonlinear Space-Variant Post-processing of Block Coded Images, ” IEEE Transactions on Acoust.Speech Signal Process., vol. 34, 1986, pp. 1258–1267.

    Article  Google Scholar 

  3. C.J. Kuo and R.J. Hsieh, “Adaptive Postprocessing for Block Encoded Images, ” IEEE Transactions on Circuits and Systems for Video Technology, vol. 5, no. 4, 1995, pp. 298–304.

    Article  Google Scholar 

  4. J. Chou, M. Crouse, and K. Ramchandran, “A Simple Algorithm for Removing Blocking Artifacts in Block-Transform Coded Images, ” IEEE Signal Processing Letters, vol. 5, 1998, pp. 33–35.

    Article  Google Scholar 

  5. Z. Xiong, M. Orchard, and Y. Zhang, “A Deblocking Algorithm for JPEG Compressed Images Using Overcomplete Wavelet Representations, ” IEEE Transactions on Circuits and Systems for Video Technology, vol. 7, 1997, pp. 433–437.

    Article  Google Scholar 

  6. A. Kundu, “Enhancement of JPEG Coded Images by Adaptive Spatial Filtering, ” in Proc.IEEE ICIP, Washington, D.C., Oct. 1995, vol. II, pp. 187–191.

    Google Scholar 

  7. W.E. Lynch, A. Reibman, and B. Liu, “Postprocessing Trans-form Coded Images Using Edges, ” in Proc.IEEE ICASSP, Detroit, MI, May 1995, vol. IV, pp. 2323–2326.

    Google Scholar 

  8. K. Sauer, “Enhancement of Low Bit-Rate Encoded Images Using Edge Detection and Estimation, ” Computer Vision, Graphics and Image Processing, pp. 52–62, 1991.

  9. D.C. Yula, “Generalized Image Restoration by the Method of Alternating Orthogonal Projections, ” IEEE Transactions on Circuits and Systems, vol. 25, 1978, pp. 694–702.

    Article  Google Scholar 

  10. D. Yula and H. Webb, “Image Restoration by the Method of Convex Projections: Part I-Theory, ” IEEE Transactions on Medical Imaging, vol. 1, 1982, pp. 81–94.

    Article  Google Scholar 

  11. A. Zakhor, “Iterative Procedures for Reduction of Blocking Arti-facts in Transform Image Coding, ” IEEE Transactions on Cir-cuits and Systems for Video Technology, vol. 2, 1992, pp. 91–95.

    Article  Google Scholar 

  12. S.J. Reeves and S.I. Eddins, “Comments on Iterative Procedures for Reduction of Blocking Effects in Transform Coding, ” IEEE Transactions on Circuits and Systems for Video Technology, vol. 3, 1993, pp. 439–440.

    Article  Google Scholar 

  13. Y. Yang, N. Galatsanos, and A. Katsaggelos, “Regularized Re-construction to Reduce Blocking Artifacts of Block Discrete Cosine Transform Compressed Images, ” IEEE Transactions on Circuits and Systems for Video Technology, vol. 3, 1993, pp. 421–432.

    Article  Google Scholar 

  14. Y. Yang, N. Galatsanos, and A. Katsaggelos, “Projection-Based Spatially Adaptive Reconstruction of Block-Transform Com-pressed Images, ” IEEE Transactions on Image Processing, vol. 4, 1995, pp. 896–908.

    Article  Google Scholar 

  15. J.K. Su and R.M. Mersereau, “Post-Processing for Artifact Reduction in JPEG-Compressed Images, ” in Proc.IEEE ICASSP, Detroit, MI, May 1995, vol. IV, pp. 2363–2366.

    Google Scholar 

  16. K.Y. Kwak and R.A. Haddad, “Projection-Based Eigenvector Decomposition for Reduction of Blocking Artifacts of DCT Coded Image, ” in Proc.IEEE ICIP, Washington, D.C., Oct. 1995, vol. II, pp. 527–530.

    Google Scholar 

  17. S.-W. Hong, Y.-H. Lee, and W.-C. Siu, “Subband Adaptive Reg-ularization Method for Removing Blocking Artifacts, ” in Proc.IEEE ICIP, Washington, D.C., Oct. 1995, vol. II, pp. 523–527.

    Google Scholar 

  18. T.P. O'Rourke and R.L. Stevenson, “Improved Image Decom-pression for Reduced Transform Coding Artifacts, ” IEEE Trans-actions on Circuits and Systems for Video Technology, vol. 5, 1995, pp. 490–499.

    Article  Google Scholar 

  19. J. Li and C.-C. J. Kuo, “Coding Aritact Removal with Multiscale Postprocessing, ” in Proc.IEEE ICIP, Santa Barbara, CA, Oct. 1997, vol. I, pp. 45–48.

    Google Scholar 

  20. R.A. Gopinath, M. Lang, H. Guo, and J.E. Odegard, “Wavelet-Based Postprocessing of Low Bit Rate Transform Coded Images, ” in Proc.IEEE ICIP, 1994, pp. 913–917.

  21. D. Donoho, “Denoising by Soft Thresholding, ” IEEE Transac-tions on Information Theory, vol. IT-41, 1995, pp. 613–627.

    Article  MathSciNet  Google Scholar 

  22. R.R. Coifman and D.L. Donoho, “Translation-Invariant Denois-ing, ” in Springer Lecture Notes in Statistics, vol. 103: Wavelets and Statistics, New York: Springer Verlag, 1994, pp. 125–150.

    Google Scholar 

  23. M.-Y. Shen and C.-C. J. Kuo, “Review of Postprocessing Tech-niques for Compression Artifact Removal, ” Journal of Visual Communication and Image Representation, vol. 9, 1998, pp. 2–14.

    Article  Google Scholar 

  24. S. Minami and A. Zakhor, “An Optimization Approach for Re-moving Blocking Effects in Transform Coding, ” IEEE Transac-tions on Circuits and System for Video Technology, vol. 5, 1995, pp. 74–81.

    Article  MATH  Google Scholar 

  25. 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, 1998, pp. 253–257.

    Article  Google Scholar 

  26. Y.-H. Chan, S.-W. Hong, and W.-C. Siu, “A Practical Postprocessing Technique for Real-Time Block-Based Coding System, ” IEEE Transactions on Circuits and Systems for Video Technology, vol. 8, 1998, pp. 4–8.

    Article  Google Scholar 

  27. S.-C. Hsia, J.-F. Yang, and B.-D. Liu, “Efficient Postprocessor for Blocky Effect Removal Based on Transform Characteristics, ” IEEE Transactions on Circuits and Systems for Video Technology, vol. 7, 1997, pp. 924–929.

    Article  Google Scholar 

  28. G. Lakhani, “Improved Equations for JPEG's Blocking Arti-facts Reduction Approach, ” IEEE Transactions on Circuits and Systems for Video Technology, vol. 7, no. 6, 1997, pp. 930–934.

    Article  Google Scholar 

  29. Z. Wang and D. Zhang, “A Novel Approach for Reduction of Blocking Effects in Low-Bit-Rate Image Compression, ” IEEE Transactions on Communications, vol. 46, 1998, pp. 732–734.

    Article  Google Scholar 

  30. M. Lang, H. Guo, J.E. Odegard, C.S. Burrus, and R.O. Wells, “Noise Reduction Using an Undecimated Discrete Wavelet Transform, ” IEEE Signal Processing Letters, vol. 3, 1996, pp. 10–12.

    Article  Google Scholar 

  31. B. Natarajan, “Filtering Random Noise from Determinic Signals via Data Compression, ” IEEE Transactions on Signal Processing, vol. 43, 1995, pp. 2595–2605.

    Article  Google Scholar 

  32. G. Davis and A. Nosratinia, “Wavelet-Based Image Coding: An Overview, ” Applid and Computational Control, Signals, and Circuits, vol. 1, no. 1, 1998.

  33. N.S. Jayant and P. Noll, Digital Coding of Waveforms, Englewood Cliffs, NJ: Prentice-Hall, 1984.

    MATH  Google Scholar 

  34. E. Feig and E. Linzer, “Discrete Cosine Transform Algorithms for Image Data Compression, ” in Electronic Imaging '90 East, Boston, MA, Oct. 1990, pp. 84–87.

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Authors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX, 75083, USA

    Aria Nosratinia

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  1. Aria Nosratinia
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Nosratinia, A. Enhancement of JPEG-Compressed Images by Re-application of JPEG. The Journal of VLSI Signal Processing-Systems for Signal, Image, and Video Technology 27, 69–79 (2001). https://doi.org/10.1023/A:1008167430544

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  • DOI: https://doi.org/10.1023/A:1008167430544

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