The mean dynamic range optimization in the framework of logarithmic models

Vasile Patrascu; Vasile V. Buzuloiu

doi:10.1117/12.519791

30 September 2003 The mean dynamic range optimization in the framework of logarithmic models

Vasile Patrascu, Vasile V. Buzuloiu

Proceedings Volume 5227, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies; (2003) https://doi.org/10.1117/12.519791
Event: 2003 Chapter books, 2003, Bellingham, WA, United States

Abstract

In this paper we use a logarithmic model of image representation for gray level image enhancement. We begin with a short presentation of the model and then, the formulas for the mean dynamic range. After that we present two image transforms: one performs an optimal enhancement of the mean dynamic range using the logarithmic addition, and the other does the same for positive and negative values using the logarithmic scalar multiplication. We present the comparison of our results with the results obtained using classical image enhancement methods like gamma correction and histogram equalization.

Citation Download Citation

Vasile Patrascu and Vasile V. Buzuloiu "The mean dynamic range optimization in the framework of logarithmic models", Proc. SPIE 5227, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies, (30 September 2003); https://doi.org/10.1117/12.519791

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