Using Statistical Methods to Increase the Contrast Level in Digital Images

Authors

• Adnan Muhammad Ali, Department of Mathematics, Collage of Science, Mustansiriyah University, Baghdad, Iraq
• Sabah Manfi Redha, Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq
• Faez Hassan Ali, Department of Mathematics, Collage of Science, Mustansiriyah University, Baghdad, Iraq

Abstract

This research deals with the use of a number of statistical methods, such as the kernel method, watershed, histogram, and cubic spline, to improve the contrast of digital images. The results obtained according to the RSME and NCC standards have proven that the spline method is the most accurate in the results compared to other statistical methods.

DOI

10.33095/jeas.v29i136.2606

Subject Area

Statistical

First Page

49

Last Page

59

Rights

http://creativecommons.org/licenses/by-nc-nd/4.0

Recommended Citation

Ali, A. M., Redha, S. M., & Ali, F. H. (2023). Using Statistical Methods to Increase the Contrast Level in Digital Images. Journal of Economics and Administrative Sciences, 29(136), 49-59. https://doi.org/10.33095/jeas.v29i136.2606