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References
M. Vetterli and C. Herley. “Wavelets and filter banks: Theory and design,” IEEE Trans. on Signal Proc., vol. 40, pp. 2207–2232, 1992.
J. Shapiro, “Embedded Image Coding Using Zerotrees of Wavelet Co-efficients”, IEEE Trans. on Signal Proc., vol. 41, no. 12, pp. 3445–3462, De-cember, 1993.
A. Said and W.A. Pearlman “A new, fast, and efficient image codec based on set partitioning in hierarchical trees,” IEEE Trans. on Circuits and Systems for Video Technology, June 1996.
Z. Xiong, K. Ramchandran and M.T. Orchard, “Wavelet packets image coding using space-frequency quantization,” submitted to IEEE Trans. on Image Proc., January 1996.
R.L. Joshi, H. Jafarkhani, J.H. Kasner, T.R. Fischer, N. Farvardin, M.W. Marcellin, and R.H. Bamberger, “Comparison of different methods of classification in subband coding of images,” submitted to IEEE Trans. on Image Proc., 1995.
S.M. LoPresto, K. Ramchandran, and M.T. Orchard, “Image Coding basedon Mixture Modeling of Wavelet Coefficients and a Fast Estimation-Quantization Framework,” Proc. of the 1997 IEEE Data Compression Conference, Snowbird, UT, pp.221–230, March, 1997.
J. Villasenor, R.A. Ergas, and P.L. Donoho, “Seismic data compression using high dimensional wavelet transforms,” Proc. of the 1996 IEEE Data Compression Conference, Snowbird, UT, pp. 396–405, March, 1996.
M. Grouse and K. Ramchandran, “Joint thresholding and quantizer selection for transform image coding: Entropy-constrained analysis and applications to baseline JPEG,” IEEE Trans. on Image Proc., vol. 6, pp. 285–297, Feb. 1997.
M.J. Weinberger, G. Seroussi, and G. Sapiro, “LOCO-I: A low complexity, context-based lossless image compression algorithm,” Proc. of the 1996 IEEE Data Compression Conference,, Snowbird, UT, pp. 140–149, April, 1996.
X. Wu, N. Memon,“Context-based, adaptive, lossless image coding”, IEEE Trans. on Communications., vol. 45, No.4, Arpil 1997.
M. Antonini, M. Barlaud, P. Mathieu, and I. Daubechies, “Image coding using wavelet transform,” IEEE Trans. on Image Proc., vol. 1, pp. 205–220, 1992.
M.J. Tsai, J. Villasenor, and F. Chen, “Stack-run Image Coding,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 6, pp. 519–521, Oct. 1996.
R. Laroia and N. Farvardin, “A structured fixed-rate vector quantizer derived from a variable length scalar quantizer — Part I: Memoryless sources,” IEEE Trans. on Inform. Theory, vol. 39, pp. 851–867, May 1993.
G. Calvagno, C. Ghirardi, G.A. Mian, and R. Rinaldo, “Modeling of subband image data for buffer control,” IEEE Trans. on Circuits and Systems for Video Technology, vol.7, pp.402–408, April 1997.
K.A. Birney and T.R. Fischer, “On the modeling of DCT and subband image data for compression,” IEEE Trans. on Image Proc., vol. 4, pp. 186–193, February 1995.
S.W. Golomb, “Run-length encodings,” IEEE Trans. on Inf. Theory, vol. IT-12, pp. 399–401, July 1966.
R.G. Gallager and D.C. Van Voorhis, “Optimal source codes for geomet-ricallydistributed integer alphabets,” IEEE Trans. on Inf. Theory, vol.21, pp.228–230, March 1975.
R.F. Rice, “Some practical universal noiseless coding techniques,” Tech. Rep. JPL-79-22, Jet Propulsion Laboratory, Pasadena, CA, March 1979.
J. Teuhola, “A Compression Method for Clustered Bit-Vectors,” In-formation Processing Letters, vol. 7, pp. 308–311, October 1978.
P. Elias, “Universal codeword sets and representations of the integers,” IEEE Trans. on Inf. Theory, Vol. 21, pp. 194–203, March 1975.
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Villasenor, J.D., Wen, J. (2002). Low-Complexity Compression of Run Length Coded Image Subbands. In: Topiwala, P.N. (eds) Wavelet Image and Video Compression. The International Series in Engineering and Computer Science, vol 450. Springer, Boston, MA. https://doi.org/10.1007/0-306-47043-8_12
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DOI: https://doi.org/10.1007/0-306-47043-8_12
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