Contrast enhancement of color images based on wavelet transform and human visual system

Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering, GVE 2007

Volumn , Issue , 2007, Pages 58-63

  Xiao, Ding ^a   Ohya, Jun ^a  

^a WASEDA UNIVERSITY   (Japan)

Author keywords

Color enhancement; HSV color space; Human visual system; Image processing; Wavelet transform

Indexed keywords

COLOR; COLOR IMAGE PROCESSING; IMAGE ENHANCEMENT; IMAGE PROCESSING; MEDICAL IMAGING; VISUALIZATION; WAVELET TRANSFORMS;

COLOR BALANCES; COLOR ENHANCEMENT; COLOR IMAGES; CONTRAST ENHANCEMENTS; HISTOGRAM EQUALIZATIONS; HSV COLOR SPACE; HUMAN VISUAL SYSTEM; HUMAN VISUAL SYSTEMS; INVERSE WAVELET TRANSFORMS; LUMINANCE VALUES; RGB VALUES;

OPTICAL PROPERTIES;

EID: 54949142507     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. V. Buzuloiu, M. Ciuc, R. M. Rangayyan, & C. Vertan, Adaptive neighborhood histogram equalization of color images, International Journal of Electron Image, 10(2), 2001, 445-459.
2. th IAPR Conf. on Pattern Recognition, The Hague, Netherlands, 1992, 545-548.
3. th IEEE Conf. on Image Processing, Santa Barbara, CA, USA, 1997, 30-33.
4. A. Gupta, & B. Chanda, A hue preserving enhancement scheme for a class of color images, Pattern Recognition Letters, 17(2), 1996, 109-114.
5. th IEEE Conf. on Image Processing, Thessaloniki, Greece, 2001, 1077-1080.
6. M. S. Shyu, & J. J. Leou, A genetic algorithm approach to color image enhancement, International Journal of Pattern Recognition, 31(7), 1998, 871-880.
7. A. Toet, Multiscale color image enhancement, Pattern Recognition Letters, 13(3), 1992, 167-174.
8. J. Lu, & D. M. Hearly, Contrast enhancement via multi-scale gradient transformation, Proc. SPIE Conf. on Wavelet Application Orlando, FL, USA, 1994, 345-365.
9. T. J. Brown, An adaptive strategy for wavelet based image enhancement, Proc. IMVIP Conf. on Irish Machine Vision and Image Processing, Belfast, Northern Ireland, 2000, 67-81.
10. th IEEE Conf. on Pattern Recognition, Los Alamos, CA, USA, 1990, 791-795.
11. S. K. Naik, & C. A. Murthy, Hue-preserving color image enhancement without gamut problem, IEEE Trans. on Image Processing, 12(12), 2003, 1591-1598.
12. C. C. Yang, & J. J. Rodrguez, Efficient luminance and saturation processing techniques for bypassing color coordinate transformations, Proc. IEEE Conf. On Systems, Man and Cybernetics, Bogota, Columbia, 1995, 56-67.
13. Y. Xu, J. B. Weaver, D. M. Healy, & J. Lu, Wavelet transform domain filters: A spatially selective noise filtration technique, IEEE Trans. on Image Processing, 3(6), 1994, 747-758.
14. Q. Pan, L. Zhang, G. Dai, & H. Zhang, Two denoising methods by wavelet transform, IEEE Trans. on Signal Processing, 47(12), 1999, 3401-3406.
15. Y. Kobayashi, & T. Kato, A high fidelity contrast improving model based on human vision mechanism, Proc. IEEE International Conf. on Multimedia Computing and Systems, Florence, Italy, 1999, 578-584.
16. R. N. Strickland, C. S. Kim, & W. F. McDonnell, Digital color image enhancement based on the saturation component, International Journal of Optical Engineering, 26(7), 1987, 609-616.
17. Jobson D. J., Rahman Z., & Woodell G. A., Statistics of visual representation, Proc. SPIE Conf. on Visual Information Processing XI, Orlando, FL, USA, 2002, 25-35.