Super-resolution of images based on local correlations

IEEE Transactions on Neural Networks

Volumn 10, Issue 2, 1999, Pages 372-380

  Candocia, Frank M ^a,b   Principe, Jose C ^a,b  

^a IEEE   (United States)

^b University of Florida   (United States)

Author keywords

Homologous neighborhoods; Interpolation; Linear and nonlinear associative memories; Local or interblock correlation; Magnification; Modular and adaptive systems; Scale interdependence; Super resolution (super resolution) image processing

Indexed keywords

ASSOCIATIVE STORAGE; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE QUALITY; INTERPOLATION; LEARNING SYSTEMS; OPTICAL CORRELATION;

SUPER-RESOLUTION IMAGE PROCESSING;

NEURAL NETWORKS;

EID: 0033099093     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.750566     Document Type: Article

References (23)

1. G. R. Benitz, "High definition vector imaging for synthetic aperture radar," in Proc. 31st Asilomar Conf. Signals, Syst., Comp., Nov. 1997.
2. A. M. Tekalp, Digital Video Processing. Englewood Cliffs, NJ: Prentice-Hall, 1995, ch. 17.
3. A. N. Netravali and B. G. Haskell, Digital Pictures: Representation, Compression and Standards, 2nd ed. New York: Plenum, 1995.
4. M. Unser, A. Aldroubi, and M. Eden, "Fast B-spline transforms for continuous image representation and interpolation," IEEE Trans. Pattern Anal. Machine Intell., vol. 13, pp. 277-285, 1991.
5. S. D. Bayrakeri and R. M. Mersereau, "A new method for directional image interpolation," in Proc. Int. Conf. Acoust., Speech, Signal Processing, vol. 4, pp. 2383-2386, 1995.
6. K. Jensen and D. Anastassiou, "Subpixel edge localization and the interpolation of still images," IEEE Trans. Image Processing, vol. 4, pp. 285-295, 1995.
7. A. M. Darwish and M. S. Bedair, "An adaptive resampling algorithm for image zooming," in Proc. SPIE, vol. 2666, pp. 131-144, 1996.
8. S. A. Martucci, "Image resizing in the discrete cosine transform domain," in Proc. Int. Conf. Image Processing, vol. 2, pp. 244-247, 1995.
9. E. Shinbori and M. Takagi, "High-quality image magnification applying the Gerchberg-Papoulis iterative algorithm with DCT," Syst. Comput. Japan, vol. 25, no. 6, pp. 80-90, 1994.
10. S. G. Chang, Z. Cvetkovic, and M. Vetterli, "Resolution enhancement of images using wavelet transform extrema extrapolation," in Proc. Int. Conf. Acoust., Speech, Signal Processing, vol. 4, pp. 2379-2382, 1995.
11. N. B. Karayiannis and A. N. Venetsanopoulos, "Image interpolation based on variational principles," Signal Processing, vol. 25, pp. 259-288, 1991.
12. R. R. Schultz and R. L. Stevenson, "A Bayesian approach to image expansion for improved definition," IEEE Trans. Image Processing, vol. 3, pp. 233-242, 1994.
13. F. M. Candocia, "A unified super-resolution approach for optical and synthetic aperture radar images," Ph.D. dissertation, Univ. Florida, Gainesville, 1998.
14. G. K. Wallace, "The JPEG still image compression standard," Commun. ACM, vol. 34, no. 4, pp. 30-44, 1991.
15. R. D. Dony and S. Haykin, "Neural-network approaches to image compression," Proc. IEEE, vol. 83, no. 2, pp. 288-303, 1995.
16. _, "Optimally integrated adaptive learning," IEEE Trans. Image Processing, vol. 4, pp. 1358-1370, 1995.
17. N. Kambhatla and T. Leen, "Dimension reduction by local principal component analysis," Neural Comput., vol. 9, pp. 1493-1516, 1997.
18. R. W. Schafer and L. R. Rabiner, "A digital signal processing approach to signal interpolation," Proc. IEEE, vol. 61, no. 6, pp. 692-702, 1973.
19. F. M. Candocia and J. C. Principe, "A neural implementation of interpolation with a family of kernels," in Proc. Int. Conf. Neural Networks, vol. 3, pp. 1506-1510, 1997.
20. T. Kohonen, "The self-organizing map," Proc. IEEE, vol. 78, pp. 1464-1480, 1990.
21. S. Haykin, Neural Networks: A Comprehensive Foundation. New York: MacMillan, 1994.
22. M. I. Jordan and R. A. Jacobs, "Hierarchical mixtures of experts and the EM algorithm," Neural Comput., vol. 6, pp. 181-214, 1994.
23. T. M. Martinez, S. G. Berkovich, and K. J. Schulten, '"Neural gas' network for vector quantization and its applications to time-series prediction," IEEE Trans. Neural Networks, vol. 4, pp. 558-569, 1993.