A generalized unsharp masking algorithm

IEEE Transactions on Image Processing

Volumn 20, Issue 5, 2011, Pages 1249-1261

  Deng, Guang ^a  

^a LA TROBE UNIVERSITY   (Australia)

Author keywords

Bregman divergence; exploratory data model; generalized linear system; image enhancement; unsharp masking

Indexed keywords

BREGMAN DIVERGENCES; DATA MODELS; EDGE-PRESERVING FILTER; EXPLORATORY DATA MODEL; GENERALIZED LINEAR SYSTEM; GEOMETRICAL PROPERTY; HALO EFFECT; MODEL COMPONENTS; NEW SYSTEM; SHARPNESS ENHANCEMENT; SYSTEM DEVELOPMENT; TWO PARAMETER; UNIFIED FRAMEWORK; UNSHARP MASKING;

IMAGE ENHANCEMENT; LINEAR SYSTEMS; MODELS;

ALGORITHMS;

ALGORITHM; ARTICLE; COMPUTER PROGRAM; IMAGE ENHANCEMENT; METHODOLOGY;

ALGORITHMS; IMAGE ENHANCEMENT; SOFTWARE;

EID: 79955400731     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2010.2092441     Document Type: Article

References (35)

1. G. Ramponi, "A cubic unsharp masking technique for contrast enhancement," Signal Process., pp. 211-222, 1998. (Pubitemid 128417442)
2. S. J. Ko and Y. H. Lee, "Center weighted median filters and their applications to image enhancement," IEEE Trans. Circuits Syst., vol. 38, no. 9, pp. 984-993, Sep. 1991.
3. M. Fischer, J. L. Paredes, and G. R. Arce, "Weighted median image sharpeners for the world wide web," IEEE Trans. Image Process., vol. 11, no. 7, pp. 717-727, Jul. 2002. (Pubitemid 34949976)
4. R. Lukac, B. Smolka, and K. N. Plataniotis, "Sharpening vector median filters," Signal Process., vol. 87, pp. 2085-2099, 2007. (Pubitemid 46686796)
5. A. Polesel, G. Ramponi, and V. Mathews, "Image enhancement via adaptive unsharp masking," IEEE Trans. Image Process., vol. 9, no. 3, pp. 505-510, Mar. 2000. (Pubitemid 30572350)
6. E. Peli, "Contrast in complex images," J. Opt. Soc. Amer., vol. 7, no. 10, pp. 2032-2040, 1990.
7. S. Pizer, E. Amburn, J. Austin, R. Cromartie, A. Geselowitz, T. Greer, B. Romeny, J. Zimmerman, and K. Zuiderveld, "Adaptive histogram equalization and its variations," Comput. Vis. Graph. Image Process., vol. 39, no. 3, pp. 355-368, Sep. 1987. (Pubitemid 17655926)
8. J. Stark, "Adaptive image contrast enhancement using generalizations of histogram equalization," IEEE Trans. Image Process., vol. 9, no. 5, pp. 889-896, May 2000.
9. E. Land and J. McCann, "Lightness and retinex theory," J. Opt. Soc. Amer., vol. 61, no. 1, pp. 1-11, 1971.
10. B. Funt, F. Ciurea, and J. McCann, "Retinex in MATLAB™," J. Electron. Imag., pp. 48-57, Jan. 2004.
11. M. Elad, "Retinex by two bilateral filters," in Proc. Scale Space, 2005, pp. 217-229. (Pubitemid 41274227)
12. J. Zhang and S. Kamata, "Adaptive local contrast enhancement for the visualization of high dynamic range images," in Proc. Int. Conf. Pattern Recognit., 2008, pp. 1-4.
13. Z. Farbman, R. Fattal, D. Lischinski, and R. Szeliski, "Edge-preserving decompositions for multi-scale tone and detail manipulation," ACM Trans. Graph., vol. 27, no. 3, pp. 1-10, Aug. 2008.
14. F. Durand and J. Dorsey, "Fast bilateral filtering for the display of highdynamic- range images," in Proc. 29th Annu. Conf. Comput. Graph. Interactive Tech., 2002, pp. 257-266.
15. R. Fattal, "Single image dehazing," ACM Trans. Graph., vol. 27, no. 3, pp. 1-9, 2008.
16. K. M. He, J. Sun, and X. O. Tang, "Single image haze removal using dark channel prior," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2009, pp. 1956-1963.
17. H. Shvaytser and S. Peleg, "Inversion of picture operators," Pattern Recognit. Lett., vol. 5, no. 1, pp. 49-61, 1987.
18. G. Deng, L. W. Cahill, and G. R. Tobin, "The study of logarithmic image processing model and its application to image enhancement," IEEE Trans. Image Process., vol. 4, no. 4, pp. 506-512, Apr. 1995.
19. L. Meylan and S. Süsstrunk, "High dynamic range image rendering using a retinex-based adaptive filter," IEEE Trans. Image Process., vol. 15, no. 9, pp. 2820-2830, Sep. 2006. (Pubitemid 44270221)
20. D. Marr, Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. San Francisco, CA: Freeman, 1982.
21. D. G. Myers, Digital Signal Processing Efficient Convolution and Fourier Transform Technique. Upper Saddle River, NJ: Prentice- Hall, 1990.
22. G. Deng and L. W. Cahill, "Image enhancement using the log-ratio approach," in Proc. 28th Asilomar Conf. Signals, Syst. Comput.s, 1994, vol. 1, pp. 198-202.
23. L. W. Cahill and G. Deng, "An overview of logarithm-based image processing techniques for biomedical applications," in Proc. 13th Int. Conf. Digital Signal Process., 1997, vol. 1, pp. 93-96.
24. J. Pinoli, "A general comparative study of the multiplicative homomorphic log-ratio and logarithmic image processing approaches," Signal Process., vol. 58, no. 1, pp. 11-45, 1997. (Pubitemid 127382583)
25. A. V. Oppenheim, R. W. Schafer, and T. G. Stockham, Jr., "Nonlinear filtering of multiplied and convolved signals," Proc. IEEE, vol. 56, no. 8, pp. 1264-1291, Aug. 1969.
26. M. Jourlin and J.-C. Pinoli, "A model for logarithmic image processing," J. Microsc., vol. 149, pp. 21-35, 1988.
27. Z. Farbman, R. Fattal, D. Lischinski, and R. Szeliski, "Edge-preserving decompositions for multi-scale tone and detail manipulation," ACM Trans. Graph., vol. 27, no. 3, pp. 67:1-67:10, 2008.
28. J. W. Tukey, Exploratory Data Analysis. Reading, MA: Addison- Wesley, 1977.
29. J. B. Fraleigh, A First Course in Abstract Algebra. Reading, MA: Addison-Wesley, 1978.
30. A. Banerjee, S. Merugu, I. S. Dhillon, and J. Ghosh, "Clustering with bregman divergences," J. Mach. Learn. Res., vol. 6, pp. 1705-1749, Oct. 2005.
31. F. Nielsen and R. Nock, "Sided and symmetrized bregman centroids," IEEE Trans. Inf. Theory, vol. 55, no. 6, pp. 2882-2904, Jun. 2009.
32. G. Deng, "An entropy interpretation of the logarithmic image processing model with application to contrast enhancement," IEEE Trans. Image Process., vol. 18, no. 5, pp. 1135-1140, May 2009.
33. J. P. Fitch, E. J. Coyle, and N. C. Gallagher, Jr., "Root properties and convergence rates of median filters," IEEE Trans. Acoust. Speech, Signal Process., vol. 33, no. 1, pp. 230-240, Feb. 1985. (Pubitemid 15479044)
34. S. Agaian, B. Silver, and K. Panetta, "Transform coefficient histogrambased image enhancement algorithms using contrast entropy," IEEE Trans. Image Process., vol. 16, no. 3, pp. 741-758, Mar. 2007. (Pubitemid 46436703)
35. M. Čadík, M. Wimmer, L. Neumann, and A. Artusi, "Evaluation of HDR tone mapping methods using essential perceptual attributes," Comput. Graph., vol. 32, no. 3, pp. 330-349, Jun. 2008.