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Compressive Sensing Image Coding with Perceptual Weighting Measuring Matrix

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Advances on Digital Television and Wireless Multimedia Communications

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 331))

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Abstract

Compressive sensing is a new technology, which combines data sampling with compressing. Many applications of compressive sensing in image processing and computer vision are being explored. In this paper, we propose a compressive sensing image coding scheme with weighting measuring matrix based on just noticeable distortion, where image coefficients have been adaptively weighted according to their different visual significances. Simulation results demonstrate that the proposed method can greatly improve the quality of the reconstructed image compared with the existing algorithm.

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References

  1. Donoho, D.L.: Compressed sensing. IEEE Trans Inform. Theory 52(4), 1289–1306 (2006)

    Article  MathSciNet  Google Scholar 

  2. Bai, H.H., Wang, A.H., Zhang, M.M.: Compressive Sensing for DCT Image. In: 2010 International Conference on Computational Aspects of Social Networks, Taiyuan, pp. 378–381 (2010)

    Google Scholar 

  3. Kumar, N.R., Wei, X., Soar, J.: A Novel Image Compressive Sensing Method Based on Complex Measurements. In: 2011 International Conference on Digital Image Computing: Techniques and Applications, Toowoomba, pp. 175–179 (2011)

    Google Scholar 

  4. Sermwuthisarn, P., Auethavekiat, S., Patanavijit, V.: A fast image recovery using compressive sensing technique with block based Orthogonal Matching Pursuit. In: 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Kanazawa, pp. 212–215 (2009)

    Google Scholar 

  5. Yang, Y., Au, O.C., Fang, L., Wen, X., Tang, W.R.: Perceptual compressive sensing for image signals. In: 2009 IEEE International Conference on Multimedia and Expo, New York, pp. 89–92 (2009)

    Google Scholar 

  6. Li, Y.H.: Improved model of image block compressed sensing. Computer Engineering and Applications 47(25), 186–189 (2011)

    Google Scholar 

  7. Tralic, D., Grgic, S.: Signal Reconstruction via Compressive Sensing. In: 53rd International Symposium ELMAR 2011, Zadar, pp. 14–16 (2011)

    Google Scholar 

  8. Wei, Z.Y., Ngan, K.N.: Spatio-Temporal Just Noticeable Distortion Profile for Grey Scale Image/Video in DCT Domain. IEEE Transactions on Circuits and Systems for Video Technology 19(3), 337–346 (2009)

    Article  Google Scholar 

  9. Candes, E.J., Tao, T.: Decoding by Linear Programming. IEEE Transactions on Information Theory 51(12), 4203–4215 (2005)

    Article  MathSciNet  Google Scholar 

  10. Lu, G.: Block Compressed Sensing of Natural Image. In: 15th International Conference on Digital Signal Processing, Cardiff, pp. 403–406 (2007)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Key Lab. of Advanced Display and System Application, Ministry of Education, Shanghai University, Shanghai, 200072, China

    Yongfang Wang & Zhaoyang Zhang

  2. School of Communication and Information Engineering, Shanghai University, Shanghai, 200072, China

    Yundong Song, Yongfang Wang, Xiwu Shang & Zhaoyang Zhang

Authors
  1. Yundong Song
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  2. Yongfang Wang
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  3. Xiwu Shang
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  4. Zhaoyang Zhang
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Editor information

Editors and Affiliations

  1. Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, 800 Dongchuan Road, 200240, Shanghai, P. R. China

    Wenjun Zhang  & Xiaokang Yang  & 

  2. School of Communication and Information Engineering, Shanghai University, 99 Shangda Road, 200444, Shanghai, P. R. China

    Zhixiang Xu  & Ping An  & 

  3. School of Computer Science, Fudan University, 220 Handan Road, 200433, Shanghai, P. R. China

    Qizhen Liu

  4. Department of Computer Science and Technology, East China Normal University, 500 Dongchuan Road, 200241, Shanghai, P. R. China

    Yue Lu

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© 2012 Springer-Verlag Berlin Heidelberg

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Song, Y., Wang, Y., Shang, X., Zhang, Z. (2012). Compressive Sensing Image Coding with Perceptual Weighting Measuring Matrix. In: Zhang, W., Yang, X., Xu, Z., An, P., Liu, Q., Lu, Y. (eds) Advances on Digital Television and Wireless Multimedia Communications. Communications in Computer and Information Science, vol 331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34595-1_37

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  • DOI: https://doi.org/10.1007/978-3-642-34595-1_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34594-4

  • Online ISBN: 978-3-642-34595-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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