Wavelet Image and Video Compression pp 171-197 | Cite as
Space-frequency Quantization for Wavelet Image Coding
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Wavelet Coefficient Wavelet Packet Image Code Scalar Quantization Fingerprint Image
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References
- [1]A. Lewis and G. Knowles, “Image compression using the 2-D wavelet trans-form,” IEEE Trans. Image Processing, vol. 1, pp. 244–250, April 1992.Google Scholar
- [2]J. M. Shapiro, “Embedded image coding using zerotrees of wavelet coefficients,” IEEE Trans. Signal Processing, vol. 41, pp. 3445–3463, December 1993.CrossRefzbMATHGoogle Scholar
- [3]J. W. Woods and S. O’Neil,“Subband coding of images,” IEEE Trans. Acous-tics, Speech, and Signal Processing, vol. 34, pp. 1278–1288, October 1986.Google Scholar
- [4]P. Westerink, “Subband coding of images,” Ph.D. dissertation, The Delft Uni-versity of Technology, October 1989.Google Scholar
- [5]Y. H. Kim and J. W. Modestino, “Adaptive entropy coded subband coding of images,” IEEE Trans. Image Processing, vol. 1, pp. 31–48, January 1992.Google Scholar
- [6]M. Antonini, M. Barlaud, P. Mathieu, and I. Daubechies, “Image coding using wavelet transform,” IEEE Trans. Image Processing, vol. 1, pp. 205–221, April 1992.Google Scholar
- [7]P. J. Burt and E. H. Adelson,“The Laplacian pyramid as a compact image code,” IEEE Trans. Communication, vol. 31, pp. 532–540, 1983.Google Scholar
- [8]R. J. Clarke, Transform Coding of Images. Orlando, FL: Academic Press, 1985.Google Scholar
- [9]Subband Image Coding, J. W. Woods, Ed. Norwell, MA: Kluwer Academic, 1991.Google Scholar
- [10]N. Farvardin and J. Modestino, “Optimum quantizer performance for a class of non-Gaussian memoryless sources,” IEEE Trans. Inform. Theory, vol. 30, pp. 485–497, May 1984.CrossRefMathSciNetGoogle Scholar
- [11]Z. Xiong, K. Ramchandran, and M. T. Orchard, “Space-frequency quantization for wavelet image coding,” IEEE Trans. Image Processing, 1997.Google Scholar
- [12]R. Coifman and V. Wickerhauser, “Entropy-based algorithms for best basis selection,” IEEE Trans. Inform. Theory, vol. 38, pp. 713–718, March 1992.CrossRefGoogle Scholar
- [13]Z. Xiong, K. Ramchandran, M. T. Orchard, and K. Asai, “Wavelet packets-based image coding using joint space-frequency quantization,” Proc. ICIP’94, Austin, Texas, November, 1994.Google Scholar
- [14]Y. Shoham and A. Gersho, “Efficient bit allocation for an arbitrary set of quantizers,” IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 36, pp. 1445–1453, September 1988.CrossRefGoogle Scholar
- [15]K. Ramchandran and M. Vetterli, “Best wavelet packet bases in a rate-distortion sense,” IEEE Trans. Image Processing, vol. 2, pp. 160–176, April 1993.Google Scholar
- [16]A. Said and W. A. 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
- [17]G. Langdon, “An introduction to arithmetic coding,” IBM J. Res. Develop., 28, pp. 135–149, 1984.zbMATHMathSciNetGoogle Scholar
- [18]I. Witten, R. Neal, and J. Cleary, “Arithmetic coding for data compression,” Communications of the ACM, 30, pp. 520–540, 1987.CrossRefGoogle Scholar
- [19]R. L. Joshi, V. J. Crump, and T. R. Fisher, “Image subband coding using arithmetic and trellis coded quantization,” IEEE Trans. Circuits and Systems for Video Technology, vol. 5, pp. 515–523, December 1995.Google Scholar
- [20]M. W. Marcellin and T. R. Fischer, “Trellis coded quantization of memoryless and Gaussian-Markov sources,” IEEE Trans. Communications, vol. 38, no. 1, pp. 82–93, January 1990.CrossRefMathSciNetGoogle Scholar
- [21]R. L. Joshi, H. Jafarkhani, J. H. Kasner, T. R. Fisher, N. Farvardin, M. W. Marcellin, and R. H. Bamberger, “Comparison of different methods of classification in subbandcoding of images,” submitted to IEEE Trans. Image Processing, 1995.Google Scholar
- [22]M. Crouse and K. Ramchandran, “Joint thresholding and quantizer selection for decoder-compatible baseline JPEG,” Proc. of ICASSP’95, Detroit, MI, May 1995.Google Scholar
- [23]K. Ramchandran, Z. Xiong, K. Asai, and M. Vetterli, “Adaptive transforms for image coding using spatially-varying wavelet packets,” IEEE Trans. Image Processing, vol. 5, pp. 1197–1204, July 1996.Google Scholar
- [24]D. P. Bertsekas, Dynamic Programming: Deterministic and Stochastic Models. Englewood Cliffs, NJ: Prentice Hall, 1987.Google Scholar
- [25]C. Herley, Z. Xiong, K. Ramchandran and M. T. Orchard, “Joint Space-frequency Segmentation Using Balanced Wavelet Packets Trees for Least-cost Image Representation”, IEEE Trans. on Image Processing, May 1997.Google Scholar
- [26]J. Bradley, C. Brislawn, and T. Hopper, “The FBI wavelet/scalar quantization standard for gray-scale fingerprint image compression,” Proc. VCIP’93, Orlando, FL, April 1993.Google Scholar
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