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Wavelet Still Image Coding: A Baseline MSE and HVS Approach

  • Pankaj N. Topiwala
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Part of the The International Series in Engineering and Computer Science book series (SECS, volume 450)

Keywords

Image Compression Human Visual System Modulation Transfer Function Scalable Video Code Image Code 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    J. Lu, R. Algazi, and R. Estes, “Comparison of Wavelet Image Coders Using the Picture Quality Scale,” UC-Davis preprint, 1995.Google Scholar
  2. [2]
    M. Antonini et al, “Image Coding Using Wavelet Transform,” IEEE Trans. Image Proc., pp. 205–220, April, 1992.Google Scholar
  3. [3]
    I. Daubechies, Ten Lectures on Wavelets, SIAM, 1992.Google Scholar
  4. [4]
    B. Chitraprasert, and K. Rao, “Human Visual Weighted Progressive Image Transmission,” IEEE Trans. Comm., vol. 38, pp. 1040–1044, 1990.Google Scholar
  5. [5]
    “Wavelet Scalar Quantization Fingerprint Image Compression Standard,” Criminal Justice Information Services, FBI, March, 1993.Google Scholar
  6. [6]
    A. Gersho and R. Gray, Vector Quantization and Signal Compression, Kluwer, 1992.Google Scholar
  7. [7]
    N. Griswold, “Perceptual Coding in the Cosine Transform Domain,” Opt. Eng., v. 19, pp. 306–311, 1980.Google Scholar
  8. [8]
    J. Huang and P. Schultheiss, “Block Quantization of Correlated Gaussian Variables,” IEEE Trans. Comm., CS-11, pp. 289–296, 1963.Google Scholar
  9. [9]
    W. Pennebaker and J. Mitchell, JPEG Still Image Data Compression Standard, Van Nostrand, 1993.Google Scholar
  10. [10]
    T. Lane et al, The Independent JPEG Group Software. ftp://ftp.uu.net/graphics/jpeg.
  11. [11]
    R. Kam and P. Wong, “Customized JPEG Compression for Grayscale Printing,”. Data Comp. Conf. DCC-94, IEEE, pp. 156–165, 1994.Google Scholar
  12. [12]
    A. Lewis and G. Knowles, “Image Compression Using the 2-D Wavelet Transform,” IEEE Trans. Image Proc., pp. 244–250, April. 1992.Google Scholar
  13. [13]
    D. LeGall and A. Tabatabai, “Subband Coding of Digital Images Using Symmetric Short Kernel Filters and Arithmetic Coding Techniques,” Proc. ICASSP, IEEE, pp. 761–765, 1988.Google Scholar
  14. [14]
    N. Lohscheller, “A Subjectively Adapted Image Communication System,” IEEE Trans. Comm., COM-32, pp. 1316–1322, 1984.Google Scholar
  15. [15]
    E. Majani, “Biorthogonal Wavelets for Image Compression,” Proc. SPIE, VCIP-94, 1994.Google Scholar
  16. [16]
    J. Mannos and D. Sakrison, “The Effect of a Visual Fidelity Criterion on the Encoding of Images,” IEEE Trans. Info. Thry, IT-20, pp. 525–536, 1974.Google Scholar
  17. [17]
    K. Ngan, K. Leong, and H. Singh, “Adaptive Cosine Transform Coding of Images in Perceptual Domain,” IEEE Trans. Acc. Sp. Sig. Proc., ASSP-37, pp. 1743–1750, 1989.Google Scholar
  18. [18]
    N. Nill, “A Visual Model Weighted Cosine Transform for Image Compression and Quality Assessment,” IEEE Trans. Comm., pp. 551–557, June, 1985.Google Scholar
  19. [19]
    A. Zandi et al, “CREW: Compression with Reversible Embedded Wavelets,” Proc. Data Compression Conference 95, IEEE, March, 1995.Google Scholar
  20. [20]
    A. Said and W. Pearlman, “A new, fast, and efficient image codec based on set partitioning in hierarchical trees,” IEEE Trans. Circuits and Systems for Video Technology, vol. 6, pp. 243–250, June 1996.Google Scholar
  21. [21]
    E. Selwyn and J. Tearle, em Proc. Phys. Soc., Vo. 58, no. 33, 1946.Google Scholar
  22. [22]
    J. Shapiro, “Embedded Image Coding Using Zerotrees of Wavelet Coefficients,” IEEE Trans. Signal Proc., pp. 3445–3462, December, 1993.Google Scholar
  23. [23]
    J. Shapiro, “Smart Compression Using the Embedded Zerotree Wavelet (EZW) Algorithm,” Proc. Asilomar Conf. Sig., Syst. and Comp., IEEE, pp. 486–490, 1993.Google Scholar
  24. [24]
    S. Mallat and F. Falcon, “Understanding Image Transform Codes,” IEEE Trans. Image Proc., submitted, 1997.Google Scholar
  25. [25]
    S. LoPresto, K. Ramchandran, and M. Orchard, “Image Coding Based on Mixture Modelling of Wavelet Coefficients and a Fast Estimation-Quantization Framework,” DCC97, Proc. Data Comp. Conf., Snowbird, UT, pp. 221–230, March, 1997.Google Scholar
  26. [26]
    Y. Shoham and A. Gersho, “Efficient Bit Allocation for an Arbitrary Set of Quantizers,” IEEE Trans. ASSP, vol. 36, pp. 1445–1453, 1988.Google Scholar
  27. [27]
    A. Docef et al, “Multiplication-Free Subband Coding of Color Images,” Proc. Data Compression Conference 95, IEEE, pp. 352–361, March, 1995.Google Scholar
  28. [28]
    W. Chung et al, “A New Approach to Scalable Video Coding,” Proc. Data Compression Conference 95, IEEE, pp. 381–390, March, 1995.Google Scholar
  29. [29]
    M. Smith, “ATR and Compression,” Workshop on Clipping Service, MITRE Corporation, July, 1995.Google Scholar
  30. [30]
    G. Strang and T. Nguyen, Wavelets and Filter Banks, Cambridge-Wellesley Press, 1996.Google Scholar
  31. [31]
    P. Topiwala et al, Fundamentals of Wavelets and Applications, IEEE Educa-tional Video, September, 1995.Google Scholar
  32. [32]
    P. Topiwala et al, “Region of Interest Compression Using Pyramidal Coding Schemes,” Proc. SPIE-San Diego, Mathematical Imaging, July, 1995.Google Scholar
  33. [33]
    K. Tzou, T. Hsing and J. Dunham, “Applications of Physiological Human Visual System Model to Image Compression,” Proc. SPIE 504, pp. 419–424, 1984.Google Scholar
  34. [34]
    J. Villasenor et al, “Filter Evaluation and Selection in Wavelet Image Compression,” Proc. Data Compression Conference, IEEE, pp. 351–360, March, 1994.Google Scholar
  35. [35]
    J. Villasenor et al, “Wavelet Filter Evaluation for Image Compression,” IEEE Trans. Image Proc., August, 1995.Google Scholar
  36. [36]
    M. Vetterli and J. Kovacevic, Wavelets and Subband Coding, Prentice-Hall, 1995.Google Scholar
  37. [37]
    A. Watson et al, “Visibility of Wavelet Quantization Noise,” NASA Ames Research Center preprint 1996. http://www.vision.arc.nasa.gov/personnel/watson/watson.html
  38. [38]
    I. Witten et al, “Arithmetic Coding for Data Compression,” Comm. ACM, IEEE, pp. 520–541, June, 1987.Google Scholar
  39. [39]
    Z. Xiong et al, “Joint Optimization of Scalar and Tree-Structured Quantization of Wavelet Image Decompositions,” Proc. Asilomar Conf. Sig., Syst., and Comp., IEEE, November, 1993.Google Scholar

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