C. Saloma, C. Palmes-Saloma, H. Kondoh, “Site-specific confocal fluorescence imaging of biological microstructures in a turbid medium,” Phys. Med. Biol. 43, 1741–1759 (1998).

[CrossRef]
[PubMed]

M. A. Nazario, C. Saloma, “Signal recovery in sinusoid-crossing sampling using the minimum-negativity constraint,” Appl. Opt. 37, 2953–2963 (1998).

[CrossRef]

M. Soriano, C. Saloma, “Improved classification robustness for noisy cell images represented as principal-component projections in a hybird recognition system,” Appl. Opt. 37, 3628–3639 (1998).

[CrossRef]

R. Zaciu, C. Lamba, G. Nicula, “Image compression using an overcomplete discrete wavelet transform,” IEEE Trans. Cons. Electron. 42, 800–807 (1996).

[CrossRef]

B. Sherlock, M. Donald, “Fast discrete cosine transform,” ACM (Assoc. Comput. Mach.) Trans. Math. Software 21, 372–378 (1995).

[CrossRef]

W. Li, E. Salari, “A fast vector quantization encoding method for image compression,” IEEE Trans. Ciruits Syst. Video 5, 119–123 (1995).

[CrossRef]

M. Soriano, C. Saloma, “Cell classification by a learning principal component analyzer and a backpropagation neural network,” Bioimaging 3, 168–175 (1995).

[CrossRef]

P. Cosman, R. Gray, R. Olshen, “Evaluating quality of compressed medical images: SNR, subjective rating and diagnostic accuracy,” Proc. IEEE 82, 919–930 (1994).

[CrossRef]

N. Akrout, R. Prost, R. Goutte, “Image compression by vector quantization: a review focused on codebook generation,” Image Vision Comput. 12, 627–638 (1994).

[CrossRef]

M. Ting, E. Riskin, “Error-diffused image compression using a binary-to-gray-scale decoder and predictive pruned tree-structured vector quantization,” IEEE Trans. Image Process. 3, 854–857 (1994).

[CrossRef]
[PubMed]

V. Sitaram, C. Huang, P. Israelsen, “Efficient codebooks for vector quantization image compression with an adaptive tree search algorithm,” IEEE Trans. Commun. 42, 3027–3033 (1994).

[CrossRef]

J. Bradley, C. Brislawn, “Image compression by vector quantization of multiresolution decomposition,” Physica D 60, 245–258 (1992).

[CrossRef]

A. Lewis, G. Knowles, “Image compression using 2-D wavelet transform,” IEEE Trans. Image Process. 1, 244–249 (1992).

[CrossRef]

C. Huang, Q. Bi, G. Stiles, “Fast full search equivalent encoding algorithms for image compression using vector quantization,” IEEE Trans. Image Process. 1, 413–416 (1992).

[CrossRef]
[PubMed]

D. Le Gall, “A video compression standard for multimedia applications,” Commun. ACM 32, 46–58 (1991).

[CrossRef]

G. Wallace, “The JPEG still picture compression standard,” Commun. ACM 32, 30–34 (1991).

[CrossRef]

S. Luttrell, “Code vector density in topographic mappings,” IEEE Trans. Neural Netw. 2, 427–436 (1991).

[CrossRef]

T. Kohonen, “The self-organizing map,” Proc. IEEE 78, 1464–1480 (1990).

[CrossRef]

S. Wan, S. Wong, P. Prusinkiewicz, “An algorithm for multidimensional data clustering,” ACM (Assoc. Comput. Mach.) Trans. Math. Software 14, 153–162 (1988).

[CrossRef]

J. Cooley, J. Tukey, “An algorithm for the machine calculation of complex Fourier series,” Math. Comput. 19, 297–301 (1965).

[CrossRef]

N. Akrout, R. Prost, R. Goutte, “Image compression by vector quantization: a review focused on codebook generation,” Image Vision Comput. 12, 627–638 (1994).

[CrossRef]

M. Barnsley, L. Hurd, Fractal Image Compression (AK Peters, Wellesley, Mass., 1993).

C. Huang, Q. Bi, G. Stiles, “Fast full search equivalent encoding algorithms for image compression using vector quantization,” IEEE Trans. Image Process. 1, 413–416 (1992).

[CrossRef]
[PubMed]

J. Bradley, C. Brislawn, “Image compression by vector quantization of multiresolution decomposition,” Physica D 60, 245–258 (1992).

[CrossRef]

J. Bradley, C. Brislawn, “Image compression by vector quantization of multiresolution decomposition,” Physica D 60, 245–258 (1992).

[CrossRef]

J. Cooley, J. Tukey, “An algorithm for the machine calculation of complex Fourier series,” Math. Comput. 19, 297–301 (1965).

[CrossRef]

P. Cosman, R. Gray, R. Olshen, “Evaluating quality of compressed medical images: SNR, subjective rating and diagnostic accuracy,” Proc. IEEE 82, 919–930 (1994).

[CrossRef]

B. Sherlock, M. Donald, “Fast discrete cosine transform,” ACM (Assoc. Comput. Mach.) Trans. Math. Software 21, 372–378 (1995).

[CrossRef]

J. Foley, Computer Graphics: Principles and Practice (Addison-Wesley, New York, 1990).

A. Gersho, R. Gray, Vector Quantization and Signal Compression (Kluwer Academic, Dordrecht, The Netherlands, 1992).

[CrossRef]

R. Gonzales, R. Woods, Digital Image Processing (Addison-Wesley, New York, 1992).

N. Akrout, R. Prost, R. Goutte, “Image compression by vector quantization: a review focused on codebook generation,” Image Vision Comput. 12, 627–638 (1994).

[CrossRef]

P. Cosman, R. Gray, R. Olshen, “Evaluating quality of compressed medical images: SNR, subjective rating and diagnostic accuracy,” Proc. IEEE 82, 919–930 (1994).

[CrossRef]

A. Gersho, R. Gray, Vector Quantization and Signal Compression (Kluwer Academic, Dordrecht, The Netherlands, 1992).

[CrossRef]

S. Haykin, Neural Networks (Macmillan, New York, 1994).

V. Sitaram, C. Huang, P. Israelsen, “Efficient codebooks for vector quantization image compression with an adaptive tree search algorithm,” IEEE Trans. Commun. 42, 3027–3033 (1994).

[CrossRef]

C. Huang, Q. Bi, G. Stiles, “Fast full search equivalent encoding algorithms for image compression using vector quantization,” IEEE Trans. Image Process. 1, 413–416 (1992).

[CrossRef]
[PubMed]

M. Barnsley, L. Hurd, Fractal Image Compression (AK Peters, Wellesley, Mass., 1993).

S. Inoue, Video Microscopy (Plenum, New York, 1986).

[CrossRef]

S. Inouye, R. Oldenbourg, “Microscopes,” in Handbook of Optics, Vol. II (McGraw-Hill, New York, 1995), Chap. 17.

V. Sitaram, C. Huang, P. Israelsen, “Efficient codebooks for vector quantization image compression with an adaptive tree search algorithm,” IEEE Trans. Commun. 42, 3027–3033 (1994).

[CrossRef]

M. Rabbani, P. Jones, Digital Image Compression Techniques, Vol. TT07 of Tutorial Texts in Optical Engineering (Society of Photo-Optical Instrumentation Engineers, Bellingham, Wash., 1991).

A. Lewis, G. Knowles, “Image compression using 2-D wavelet transform,” IEEE Trans. Image Process. 1, 244–249 (1992).

[CrossRef]

T. Kohonen, “The self-organizing map,” Proc. IEEE 78, 1464–1480 (1990).

[CrossRef]

C. Saloma, C. Palmes-Saloma, H. Kondoh, “Site-specific confocal fluorescence imaging of biological microstructures in a turbid medium,” Phys. Med. Biol. 43, 1741–1759 (1998).

[CrossRef]
[PubMed]

R. Zaciu, C. Lamba, G. Nicula, “Image compression using an overcomplete discrete wavelet transform,” IEEE Trans. Cons. Electron. 42, 800–807 (1996).

[CrossRef]

D. Le Gall, “A video compression standard for multimedia applications,” Commun. ACM 32, 46–58 (1991).

[CrossRef]

A. Lewis, G. Knowles, “Image compression using 2-D wavelet transform,” IEEE Trans. Image Process. 1, 244–249 (1992).

[CrossRef]

W. Li, E. Salari, “A fast vector quantization encoding method for image compression,” IEEE Trans. Ciruits Syst. Video 5, 119–123 (1995).

[CrossRef]

S. Luttrell, “Code vector density in topographic mappings,” IEEE Trans. Neural Netw. 2, 427–436 (1991).

[CrossRef]

B. Mandelbrot, Fractal Geometry of Nature (Freeman, New York, 1983).

J. Proakis, D. Manolakis, Digital Signal Processing: Principles, Algorithms, and Applications, 2nd ed. (Macmillan, New York, 1992).

H. Ritter, T. Martinetz, K. Schulter, Neural Computation and Self-Organizing Maps (Addison-Wesley, New York, 1992).

R. Zaciu, C. Lamba, G. Nicula, “Image compression using an overcomplete discrete wavelet transform,” IEEE Trans. Cons. Electron. 42, 800–807 (1996).

[CrossRef]

E. O’Neill, Introduction to Statistical Optics (Addison-Wesley, New York, 1963).

S. Inouye, R. Oldenbourg, “Microscopes,” in Handbook of Optics, Vol. II (McGraw-Hill, New York, 1995), Chap. 17.

P. Cosman, R. Gray, R. Olshen, “Evaluating quality of compressed medical images: SNR, subjective rating and diagnostic accuracy,” Proc. IEEE 82, 919–930 (1994).

[CrossRef]

C. Saloma, C. Palmes-Saloma, H. Kondoh, “Site-specific confocal fluorescence imaging of biological microstructures in a turbid medium,” Phys. Med. Biol. 43, 1741–1759 (1998).

[CrossRef]
[PubMed]

J. Proakis, D. Manolakis, Digital Signal Processing: Principles, Algorithms, and Applications, 2nd ed. (Macmillan, New York, 1992).

N. Akrout, R. Prost, R. Goutte, “Image compression by vector quantization: a review focused on codebook generation,” Image Vision Comput. 12, 627–638 (1994).

[CrossRef]

S. Wan, S. Wong, P. Prusinkiewicz, “An algorithm for multidimensional data clustering,” ACM (Assoc. Comput. Mach.) Trans. Math. Software 14, 153–162 (1988).

[CrossRef]

R. Pugh, The Mouse: Its Reproduction and Development (Oxford University Press, New York, 1990).

M. Rabbani, P. Jones, Digital Image Compression Techniques, Vol. TT07 of Tutorial Texts in Optical Engineering (Society of Photo-Optical Instrumentation Engineers, Bellingham, Wash., 1991).

M. Ting, E. Riskin, “Error-diffused image compression using a binary-to-gray-scale decoder and predictive pruned tree-structured vector quantization,” IEEE Trans. Image Process. 3, 854–857 (1994).

[CrossRef]
[PubMed]

H. Ritter, T. Martinetz, K. Schulter, Neural Computation and Self-Organizing Maps (Addison-Wesley, New York, 1992).

W. Li, E. Salari, “A fast vector quantization encoding method for image compression,” IEEE Trans. Ciruits Syst. Video 5, 119–123 (1995).

[CrossRef]

C. Saloma, C. Palmes-Saloma, H. Kondoh, “Site-specific confocal fluorescence imaging of biological microstructures in a turbid medium,” Phys. Med. Biol. 43, 1741–1759 (1998).

[CrossRef]
[PubMed]

M. A. Nazario, C. Saloma, “Signal recovery in sinusoid-crossing sampling using the minimum-negativity constraint,” Appl. Opt. 37, 2953–2963 (1998).

[CrossRef]

M. Soriano, C. Saloma, “Improved classification robustness for noisy cell images represented as principal-component projections in a hybird recognition system,” Appl. Opt. 37, 3628–3639 (1998).

[CrossRef]

M. Soriano, C. Saloma, “Cell classification by a learning principal component analyzer and a backpropagation neural network,” Bioimaging 3, 168–175 (1995).

[CrossRef]

H. Ritter, T. Martinetz, K. Schulter, Neural Computation and Self-Organizing Maps (Addison-Wesley, New York, 1992).

B. Sherlock, M. Donald, “Fast discrete cosine transform,” ACM (Assoc. Comput. Mach.) Trans. Math. Software 21, 372–378 (1995).

[CrossRef]

V. Sitaram, C. Huang, P. Israelsen, “Efficient codebooks for vector quantization image compression with an adaptive tree search algorithm,” IEEE Trans. Commun. 42, 3027–3033 (1994).

[CrossRef]

C. Huang, Q. Bi, G. Stiles, “Fast full search equivalent encoding algorithms for image compression using vector quantization,” IEEE Trans. Image Process. 1, 413–416 (1992).

[CrossRef]
[PubMed]

M. Ting, E. Riskin, “Error-diffused image compression using a binary-to-gray-scale decoder and predictive pruned tree-structured vector quantization,” IEEE Trans. Image Process. 3, 854–857 (1994).

[CrossRef]
[PubMed]

J. Cooley, J. Tukey, “An algorithm for the machine calculation of complex Fourier series,” Math. Comput. 19, 297–301 (1965).

[CrossRef]

G. Wallace, “The JPEG still picture compression standard,” Commun. ACM 32, 30–34 (1991).

[CrossRef]

S. Wan, S. Wong, P. Prusinkiewicz, “An algorithm for multidimensional data clustering,” ACM (Assoc. Comput. Mach.) Trans. Math. Software 14, 153–162 (1988).

[CrossRef]

T. Wilson, “Confocal microscopy,” in Confocal Microscopy, T. Wilson, ed. (Academic, London, 1990), pp. 1–64.

[CrossRef]

S. Wan, S. Wong, P. Prusinkiewicz, “An algorithm for multidimensional data clustering,” ACM (Assoc. Comput. Mach.) Trans. Math. Software 14, 153–162 (1988).

[CrossRef]

R. Gonzales, R. Woods, Digital Image Processing (Addison-Wesley, New York, 1992).

R. Zaciu, C. Lamba, G. Nicula, “Image compression using an overcomplete discrete wavelet transform,” IEEE Trans. Cons. Electron. 42, 800–807 (1996).

[CrossRef]

B. Sherlock, M. Donald, “Fast discrete cosine transform,” ACM (Assoc. Comput. Mach.) Trans. Math. Software 21, 372–378 (1995).

[CrossRef]

S. Wan, S. Wong, P. Prusinkiewicz, “An algorithm for multidimensional data clustering,” ACM (Assoc. Comput. Mach.) Trans. Math. Software 14, 153–162 (1988).

[CrossRef]

M. Soriano, C. Saloma, “Cell classification by a learning principal component analyzer and a backpropagation neural network,” Bioimaging 3, 168–175 (1995).

[CrossRef]

D. Le Gall, “A video compression standard for multimedia applications,” Commun. ACM 32, 46–58 (1991).

[CrossRef]

G. Wallace, “The JPEG still picture compression standard,” Commun. ACM 32, 30–34 (1991).

[CrossRef]

W. Li, E. Salari, “A fast vector quantization encoding method for image compression,” IEEE Trans. Ciruits Syst. Video 5, 119–123 (1995).

[CrossRef]

V. Sitaram, C. Huang, P. Israelsen, “Efficient codebooks for vector quantization image compression with an adaptive tree search algorithm,” IEEE Trans. Commun. 42, 3027–3033 (1994).

[CrossRef]

R. Zaciu, C. Lamba, G. Nicula, “Image compression using an overcomplete discrete wavelet transform,” IEEE Trans. Cons. Electron. 42, 800–807 (1996).

[CrossRef]

M. Ting, E. Riskin, “Error-diffused image compression using a binary-to-gray-scale decoder and predictive pruned tree-structured vector quantization,” IEEE Trans. Image Process. 3, 854–857 (1994).

[CrossRef]
[PubMed]

C. Huang, Q. Bi, G. Stiles, “Fast full search equivalent encoding algorithms for image compression using vector quantization,” IEEE Trans. Image Process. 1, 413–416 (1992).

[CrossRef]
[PubMed]

A. Lewis, G. Knowles, “Image compression using 2-D wavelet transform,” IEEE Trans. Image Process. 1, 244–249 (1992).

[CrossRef]

S. Luttrell, “Code vector density in topographic mappings,” IEEE Trans. Neural Netw. 2, 427–436 (1991).

[CrossRef]

N. Akrout, R. Prost, R. Goutte, “Image compression by vector quantization: a review focused on codebook generation,” Image Vision Comput. 12, 627–638 (1994).

[CrossRef]

J. Cooley, J. Tukey, “An algorithm for the machine calculation of complex Fourier series,” Math. Comput. 19, 297–301 (1965).

[CrossRef]

C. Saloma, C. Palmes-Saloma, H. Kondoh, “Site-specific confocal fluorescence imaging of biological microstructures in a turbid medium,” Phys. Med. Biol. 43, 1741–1759 (1998).

[CrossRef]
[PubMed]

J. Bradley, C. Brislawn, “Image compression by vector quantization of multiresolution decomposition,” Physica D 60, 245–258 (1992).

[CrossRef]

T. Kohonen, “The self-organizing map,” Proc. IEEE 78, 1464–1480 (1990).

[CrossRef]

P. Cosman, R. Gray, R. Olshen, “Evaluating quality of compressed medical images: SNR, subjective rating and diagnostic accuracy,” Proc. IEEE 82, 919–930 (1994).

[CrossRef]

R. Pugh, The Mouse: Its Reproduction and Development (Oxford University Press, New York, 1990).

S. Inouye, R. Oldenbourg, “Microscopes,” in Handbook of Optics, Vol. II (McGraw-Hill, New York, 1995), Chap. 17.

E. O’Neill, Introduction to Statistical Optics (Addison-Wesley, New York, 1963).

J. Foley, Computer Graphics: Principles and Practice (Addison-Wesley, New York, 1990).

J. Proakis, D. Manolakis, Digital Signal Processing: Principles, Algorithms, and Applications, 2nd ed. (Macmillan, New York, 1992).

M. Barnsley, L. Hurd, Fractal Image Compression (AK Peters, Wellesley, Mass., 1993).

B. Mandelbrot, Fractal Geometry of Nature (Freeman, New York, 1983).

J. Pawley, ed., Handbook of Biological Confocal Microscopy (Plenum, New York, 1995).

R. Gonzales, R. Woods, Digital Image Processing (Addison-Wesley, New York, 1992).

M. Rabbani, P. Jones, Digital Image Compression Techniques, Vol. TT07 of Tutorial Texts in Optical Engineering (Society of Photo-Optical Instrumentation Engineers, Bellingham, Wash., 1991).

A. Gersho, R. Gray, Vector Quantization and Signal Compression (Kluwer Academic, Dordrecht, The Netherlands, 1992).

[CrossRef]

S. Haykin, Neural Networks (Macmillan, New York, 1994).

H. Ritter, T. Martinetz, K. Schulter, Neural Computation and Self-Organizing Maps (Addison-Wesley, New York, 1992).

S. Inoue, Video Microscopy (Plenum, New York, 1986).

[CrossRef]

T. Wilson, “Confocal microscopy,” in Confocal Microscopy, T. Wilson, ed. (Academic, London, 1990), pp. 1–64.

[CrossRef]