Use of nonlinear principal component analysis and vector quantization for image coding

IEEE Transactions on Image Processing

Volumn 7, Issue 8, 1998, Pages 1218-1223

  Tzovaras, Dimitrios ^a   Strintzis, Michael G ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

Encoding; Image coding; Neural networks; Vector quantization

Indexed keywords

BACKPROPAGATION; COMPUTATIONAL METHODS; IMAGE COMPRESSION; IMAGE RECONSTRUCTION; LEARNING SYSTEMS; NEURAL NETWORKS; OPTIMIZATION; VECTOR QUANTIZATION;

BACKPROPAGATION NEURAL NETWORKS; NONLINEAR PRINCIPAL COMPONENT ANALYSIS;

IMAGE CODING;

EID: 0032136671     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/83.704312     Document Type: Article

References (14)

1. A. N. Netravali and B. G. Haskell, Digital Pictures. Representation and Compression. New York: Plenum, 1988.
2. D. Tzovaras, S. Vachtsevanos, and M. G. Strintzis, "Optimization of quadtree segmentation and hybrid 2D and 3D motion estimation in a rate-distortion framework," IEEE Trans. Select. Areas Commun., vol. 15, pp. 1726-1738, Dec. 1997.
3. N. Panagiotidis, D. Kalogeras, S. D. Kollias, and A. Stafylopatis, "Neural network-assisted effective lossy compression of medical images," Proc. IEEE, vol. 84, Oct. 1995.
4. T. D. Sanger, "Optimal unsupervised learning in a single layer linear feedforward neural network," Neural Networks, vol. 2, pp. 459-463, 1989.
5. M. G. Strintzis, "Optimal pyramidal and subband decompositions for hierarchical coding of noisy and quantized images," IEEE Trans. Image Processing, vol. 7, pp. 155-166, Feb. 1998.
6. E. Oja, "A simplified neural model as a principal component analyzer," J. Math. Biol., vol. 15, pp. 267-273, 1982.
7. P. Baldi and K. Hornik, "Neural networks and principal component analysis: Learning from examples without local minima," Neural Networks, vol. 2, pp. 53-62, 1989.
8. F. M. Silva and L. B. Almeida, "A distributed solution for data orthonormalization," in Proc. ICANN, Helsinki, Finland, 1991.
9. H. Bourlard and Y. Kamp, "Auto-association by multilayer perceptrons and singular value decomposition," Biol. Cybern., vol. 59, pp. 291-294, 1988.
10. M. A. Kramer, "Nonlinear principal component analysis using autoassociative neural networks," AIChE J., vol. 37, pp. 233-243, 1991.
11. P. K. Simpson, Artificial Neural Systems. New York: Pergamon, 1990.
12. G. Dundar and K. Rose, "The effects of quantization on multilayer neural networks," IEEE Trans. Neural Networks, vol. 6, Nov. 1995.
13. K. I. Diamantaras and M. G. Strintzis, "Noisy PCA theory and application in filter bank codec design," in Proc. ICASSP'97, Munich, Germany, Apr. 21-24, 1997.
14. W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannary, "Numerical recipes in C, the art of scientific computing," 2nd. ed. Cambridge, U.K.: Cambridge Univ. Press, 1994.