Comparative study of logarithmic enhancement algorithms with performance measure

Eric Wharton; Sos Agaian; Karen Panetta

doi:10.1117/12.647489

17 February 2006 Comparative study of logarithmic enhancement algorithms with performance measure

Eric Wharton, Sos Agaian, Karen Panetta

Proceedings Volume 6064, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning; 606412 (2006) https://doi.org/10.1117/12.647489
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

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.

Citation Download Citation

Eric Wharton, Sos Agaian, and 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); https://doi.org/10.1117/12.647489

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