Using Statistical Methods to Increase the Contrast Level in Digital Images

Authors

  • Adnan Muhammad Ali
  • Sabah Manfi Redha
  • Faez Hassan Ali

DOI:

https://doi.org/10.33095/jeas.v29i136.2606

Keywords:

Digital Images, Watershed Segmentation Method, Histogram Method, Cubic Spline Method, Kernel Method, Mean Square Error.

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.

 

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Published

2023-06-05

Issue

Section

Statistical Researches

How to Cite

Muhammad Ali, A., Manfi Redha , S. and Hassan Ali, F. (2023) “Using Statistical Methods to Increase the Contrast Level in Digital Images”, Journal of Economics and Administrative Sciences, 29(136), pp. 49–59. doi:10.33095/jeas.v29i136.2606.

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