Reinforced Contrast Adaptation

International Journal of Image and Graphics

Volumn 6, Issue 3, 2006, Pages 377-392

  Tizhoosh, Hamid R ^a   Taylor, Graham W ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

contrast; image enhancement; Q learning; Reinforcement learning; subjectivity

Indexed keywords

IMAGE ENHANCEMENT; LINEAR TRANSFORMATIONS; MATHEMATICAL TRANSFORMATIONS; REINFORCEMENT LEARNING; WELL TESTING;

AUTOMATED TECHNIQUES; CONTRAST; IMAGE ENHANCEMENT ALGORITHM; POINT TRANSFORMATIONS; Q-LEARNING; Q-LEARNING ALGORITHMS; SUBJECTIVE EVALUATIONS; SUBJECTIVITY;

LEARNING ALGORITHMS;

EID: 34548753799     PISSN: 02194678     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219467806002379     Document Type: Article

References (25)

1. V. R. Algazi, N. Avadhanam and R. R. Estes, Signal Processing 70(3), 215 (1998).
2. T. Alpert, V. R. Baroncini, D. Choi, L. Contin, R. Koenen, F. Pereira and H. Peterson, Signal Processing: Image Communication 9(4), 305 (1998).
3. I. Avcibas, B. Sankur and K. Sayood, Journal of Electronic Imaging 11(2), 206 (2002).
4. B. J. Betts, J. Li, A. Aiyer, S. M. Perlmutter, P. C. Cosman, R. M. Gray, R. A. Olshen, D. Ikeda, R. Birdwell, M. Williams, K. O. Perlmutter, S. Horine, C. N. Adams, L. Fajardo and B. L. Daniel, Image Quality in Digital Mammography, Technical report, Army Medical Research and Material Command (1998).
5. B. Bhanu, Y. Lin, G. Jones and J. Peng, Machine Vision and Applications 11(6), 289 (2000).
6. J. A. Carrino, "Digital image quality: A clinical perspective, " in Quality Assurance: Meeting the Challenge in the Digital Medical Enterprise, (eds.) B. Reiner, et al., SCAR University Primer 3 (2002).
7. F. Gijbels, A. M. De Meyer, C. Bou Serhal, C. Van den Bossche, J. Declerck, M. Persoons and R. Jacobs, Clin. Oral Investig. 4(3), 162 (2000).
8. T. J. W. M. Janssen and F. J. J. Blommaert, Displays 21(4), 129 (2000).
9. A. G. Jurik, K. A. Jessen and J. Hansen, Eur. Radiol. 7(1), 77 (1997).
10. L. P. Kaelbling, M. L. Littman and A. P. Moore, Journal of Artificial Intelligence Research 4, 237 (1996).
11. W. K. Laskey, D. R. Holmes and M. J. Kern, Catheter. Cardiovasc. Interv. 46(2), 125 (1999).
12. J. Malo, A. M. Pons and J. M. Artigas, Image and Vision Computing 15(7), 535 (1997).
13. C. J. Martin, P. F. Sharp and D. G. Sutton, Appl. Radiat. Isot. 50(1), 21 (1999).
14. C. Munteanu and A. Rosa, Proc. ACM Symposium on Applied Computing, ACM Press, pp. 316-320 (2001).
15. R.W. Picard, T. P. Minka and M. Szummer, Proc. ICIP 2, 777-780 (1996).
16. C. Ribeiro, Artificial Intelligence Review 17(3), 223 (2002).
17. R. Román-Roldán, J. F. Go mez-Lopera, C. Atae-Allah, J. Martínez-Aroza and P. L. Luque-Escamilla, Pattern Recognition 34(5), 969 (2001).
18. C. Scheifele, H. Hadjizadeh, U. Thole, A. Wree and W. Hopfenmüller, Proc. 7th Computed Maxillofacial Imaging Congress (2001).
19. R. S. Sutton and A. G. Barto, Reinforcement Learning: An Introduction, MIT Press, Cambridge, MA (1998).
20. H. R. Tizhoosh, "Observer-dependent image enhancement, " Fuzzy Filters in Image Processing, (eds.) M. Nachtegael, et al., Springer, Berlin, pp. 238-270 (2003).
21. H. R. Tizhoosh and B. Michaelis, Proceedings of NAFIPS (1999).
22. A. M. van Dijk and J.-B. Martens, Signal Processing 58(3), 235 (1997).
23. D. Vogiatzis and A. Stafylopatis, Cognitive Systems Research 3(2), 237 (2002).
24. C. J. C. H. Watkins, PhD Thesis, Cambridge University (1989).
25. C. J. C. H. Watkins and P. Dayan, Machine Learning 8(3), 279 (1992).