Abstract:
In the traditional algorithm, two steps are needed to construct a mapping function from an original histogram to an arbitrarily specified histogram. One of the problems o...Show MoreMetadata
Abstract:
In the traditional algorithm, two steps are needed to construct a mapping function from an original histogram to an arbitrarily specified histogram. One of the problems observed with the traditional histogram specification technique is the contouring effect in the general image. A one-step histogram specification method is presented to overcome some weaknesses of the traditional method. First, the cause of the contouring effect in the traditional two-step histogram transformation method is analyzed. Then, the one-step histogram specification algorithm is developed to avoid this problem. From the analysis and experiment results, it can be seen that the proposed one-step histogram specification has reduced the contouring effect which was caused by the traditional two-step method. The advantage of the presented approach is to minimize the local errors between the desired histogram and the resulting histogram.<>
Published in: Conference Proceedings 1991 IEEE International Conference on Systems, Man, and Cybernetics
Date of Conference: 13-16 October 1991
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7803-0233-8
References is not available for this document.
Select All
1.
R. C. Gonzalez and B. A. Fitters, "Gray-level transformations for interactive image enhancement", Mechanism and Machine Theory, vol. 12, pp. 111-122, 1977.
2.
R. C. Gonzalez and P. Wintz, Digital Image Processing, MA, Reading:Addison-Wesley, 1987.
3.
E. L. Hall, "Almost uniform distributions for computer image enhancement", IEEE Trans. Computers, vol. C-23, no. 2, pp. 207-208, 1974.
4.
R. A. Hummel, "Image enhancement by histogram transformation", Computer Graphics and Image Processing, vol. 6, pp. 184-195, 1977.
5.
D. J. Ketcham, "Real-time image enhancement techniques", Proc. Soc. Photo-Optical Instrum Eng., vol. 74, pp. 120-125, 1976.
6.
P. M. Narendra and R. C. Fitch, "Real-time adaptive contrast enhancement", IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-3, no. 6, pp. 655-661, 1981.
7.
S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz, T. Greer, et al., "Adaptive histogram equalization and its variations", Computer Vision Graphics and Image Processing, vol. 39, pp. 355-368, 1987.
8.
B. C. Stoel, A. M. Vossepoel, E. P. Ottes, P. L. Hofland, H. M. Kroon and L. J. S. Kool, "Interactive histogram equalization", Pattern Recognition Letters, vol. 11, no. 4, pp. 247-254, 1990.
9.
R. E. Woods and R. C. Gonzalez, "Real-time digital image enhancement", Proc. IEEE, vol. 69, no. 5, pp. 643-654, 1981.