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Histogram Modification Techniques.
MARYLAND UNIV COLLEGE PARK COMPUTER SCIENCE CENTER
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The theory of histogram modification of continuous real-valued pictures is developed. It is shown that the transformation of gray levels taking a pictures histogram to a desired histogram is unique under the constraint that the transformation be monotonic increasing. Algorithms for implementing this solution on digital pictures are discussed. A gray level transformation is useful for increasing visual constrast, but may destroy some of the information content. It is shown that solutions to the problem of minimizing the sum of the information loss and the histogram discrepancy are solutions to certain differential equations, which can be solved numerically.
APPROVED FOR PUBLIC RELEASE