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Almost Uniform Distributions for Computer Image Enhancement
February 1974 (vol. 23 no. 2)
pp. 207-208
E.L. Hall, Department of Electrical Engineering, University of Southern California
The use of a gray level transformation which transforms a given empirical distribution function of gray level values in an image into a uniform distribution has been used as an image enhancement as well as for a normalization procedure. This transformation produces a discrete variable whose empirical distribution might be expected to be approximately uniform since it is related to the well known distribution transformation. In this correspondence, an extension of the theorem is given which shows that the theorem "almost" holds for an "almost" continuous input distribution. The application of the discrete distribution transformation to computer image enhancement is considered.
Index Terms:
Computer image enhancement, distribution transformation, uniform distribution.
Citation:
E.L. Hall, "Almost Uniform Distributions for Computer Image Enhancement," IEEE Transactions on Computers, vol. 23, no. 2, pp. 207-208, Feb. 1974, doi:10.1109/T-C.1974.223892
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