17 February 2006 Comparative study of logarithmic enhancement algorithms with performance measure
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Performance measures of image enhancement are traditionally subjective and have difficulty quantifying the improvement made by the algorithm. In this paper, we present the image enhancement measures and show how utilizing logarithmic arithmetic based addition, subtraction, and multiplication provides better results than previously used measures. In addition, for illustration of the performance of developed measures, we present a comprehensive study of several image enhancement algorithms from all three domains, including spatial, transform, and logarithmic algorithms.
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Eric Wharton, Eric Wharton, Sos Agaian, Sos Agaian, Karen Panetta, Karen Panetta, } "Comparative study of logarithmic enhancement algorithms with performance measure", Proc. SPIE 6064, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning, 606412 (17 February 2006); doi: 10.1117/12.647489; https://doi.org/10.1117/12.647489

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