Fast colour space transformations using minimax approximations

IET Image Processing

Volumn 4, Issue 2, 2010, Pages 70-80

  Celebi, M Emre ^a   Kingravi, H A ^b   Celiker, F ^c  

^a Louisiana State University   (United States)

^b Georgia Institute of Technology   (United States)

^c WAYNE STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COLOUR SPACES; COMPUTATIONAL SPEED; IMAGE SETS; INTERPOLATION METHOD; LOOK UP TABLE; MEMORY USAGE; MINIMAX APPROXIMATION; NEW APPROACHES; NONLINEAR FUNCTIONS; TIME-CRITICAL APPLICATIONS; VISUALISATION;

CHEBYSHEV APPROXIMATION; COLOR; FUNCTIONS; IMAGE PROCESSING; TABLE LOOKUP; VISUALIZATION;

LINEAR TRANSFORMATIONS;

EID: 77953589072     PISSN: 17519659     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-ipr.2008.0172     Document Type: Article

References (30)

1. Kao, W.-C. Chen, Y.-J.: 'Multistage bilateral noise filtering and edge detection for color image enhancement', IEEE Trans. Consum. Electron., 2005, 51, (4), p. 1346-1351, 0098-3063
2. Pitas, I. Kiniklis, P.: 'Multichannel techniques in color image enhancement and modeling', IEEE Trans. Image Process., 1996, 5, (1), p. 168-171, 10.1109/83.481684, 1057-7149
3. Ebert, D.S. Morris, C.J. Rheingans, P. Yoo, T.S.: 'Designing effective transfer functions for volume rendering from photographic volumes', IEEE Trans. Vis. Comput. Graphics, 2002, 8, (2), p. 183-197, 10.1109/2945.998670, 1077-2626
4. Jin, L. Li, D.: 'A switching vector median filter based on the CIELAB color space for color image restoration', Signal Process., 2007, 87, (6), p. 1345-1354, 0165-1684
5. Celebi, M.E. Kingravi, H.A. Uddin, B. Aslandogan, Y.A.: 'Fast switching filter for impulsive noise removal from color images', J. Imaging Sci. Technol., 2007, 51, (2), p. 155-165, 10.2352/J.ImagingSci.Technol.(2007)51:2(155), 1062-3701
6. Comaniciu, D. Meer, P.: 'Mean shift: a robust approach toward feature space analysis', IEEE Trans. Pattern Anal. Mach. Intell., 2002, 24, (5), p. 603-619, 10.1109/34.1000236, 0162-8828
7. Perez, F. Koch, C.: 'Toward color image segmentation in analog VLSI: algorithm and hardware', Int. J. Comput. Vis., 1994, 12, (1), p. 17-42, 0920-5691
8. Minten, B.W. Murphy, R.R. Hyams, J. Micire, M.: 'Low-order-complexity vision-based docking', IEEE Trans. Robot. Autom., 2001, 17, (6), p. 922-930, 1042-296X
9. Corbalán, M. Millán, M.S. Yzuel, M.J.: 'Color pattern recognition with CIELAB coordinates', Opt. Engng., 2001, 41, (1), p. 130-138
10. Gevers, T. Smeulders, A.W.M.: 'Color based object recognition', Pattern Recognit., 1999, 32, (3), p. 453-464, 10.1016/S0031-3203(98)00036-3, 0031-3203
11. Wu, X.: 'Color quantization by dynamic programming and principal analysis', ACM Trans. Graph., 1992, 11, (4), p. 348-372, 10.1145/146443.146475, 0730-0301
12. Fleishman, S. Drori, I. Cohen-Or, D.: 'Bilateral mesh denoising', ACM Trans. Graph., 2003, 22, (3), p. 950-953, 10.1145/882262.882368, 0730-0301
13. Glasbey, C. van der Heijden, G. Toh, V. Gray, A.: 'Colour displays for categorical images', Color Res. Appl., 2007, 32, (4), p. 304-309, 0361-2317
14. Hsiao, S.-W. Chiu, F.-Y. Hsu, H.-Y.: 'A computer-assisted colour selection system based on aesthetic measure for colour harmony and fuzzy logic theory', Color Res. Appl., 2008, 33, (5), p. 411-423, 0361-2317
15. Kang, H.R.: 'Computational color technology', (SPIE Press 2006)
16. Chang, J.Z. Allebach, J.P. Bouman, C.A.: 'Sequential linear interpolation of multidimensional functions', IEEE Trans. Image Process., 1997, 6, (9), p. 1231-1245, 1057-7149
17. Kacker, D. Agar, A.U. Allebach, J.P. Lucier, B.J.: 'Wavelet decomposition based representation of nonlinear color transformations and comparison with sequential linear interpolation', Proc. IEEE Int. Conf. Image Processing, 1998, p. 186-190
18. Gupta, M.R. Gray, R.M.: 'Color conversions using maximum entropy estimation', Proc. IEEE Int. Conf. Image Processing, 2001, p. 118-121
19. ', n-Simplex interpolation', 2002 Tech. Rep. HPL-2002-320, HP, Available at http://www.hpl.hp.com/techreports/2002/HPL-2002-320.html
20. Kang, H.R. Anderson, P.G.: 'Neural network applications to the color scanner and printer calibrations', J. Electron. Imaging, 1992, 1, (2), p. 125-135, 1017-9909
21. Tominaga, S.: 'Color notation conversion by neural networks', Color Res. Appl., 1993, 18, (4), p. 253-259, 0361-2317
22. Usui, S. Arai, Y. Nakauchi, S.: 'Neural networks for device-independent digital color imaging', Inf. Sci., 2000, 123, (1/2), p. 115-125
23. Vrhel, M.J.: 'Approximation of color characterization MLUTS with artificial neural networks', Proc. IEEE Int. Conf. Image Processing, 2003, p. 465-468
24. Cheney, E.W.: 'Introduction to approximation theory', 2nd(AMS 2000)
25. Muller, J.-M.: 'Elementary functions: algorithms and implementation', 2nd(Birkhaäuser 2006)
26. Fraser, W.: 'A survey of methods of computing minimax and near-minimax polynomial approximations for functions of a single independent variable', J. ACM, 1965, 12, (3), p. 295-314, 0004-5411
27. Plataniotis, K.N. Venetsanopoulos, A.N.: 'Color image processing and applications', (Springer-Verlag 2000)
28. 'Saturation, hue, and normalized color: calculation, digitization effects, and use', Tech. Rep. Carnegie Mellon University Computer Science Department, 1976
29. Umbaugh, S.E. Moss, R.H. Stoecker, W.V.: 'Automatic color segmentation of images with application to detection of variegated coloring in skin tumors', IEEE Engng. Med. Biol. Mag., 1989, 8, (4), p. 43-52
30. Mardia, K.V. Jupp, P.E.: 'Directional statistics', 2nd(John Wiley 2001)