Nivar

Nivar

A Novel Histogram Equalization Method for Enhancing the Quality of Black-and-White Meteorological Images Maintaining Brightness

Document Type : Original Article

Authors
Nooshin Allahbakhshy 1
Mohammad Bagher Karimi 2
Yashar Salami 3
1 Graduate of Master's degree in Department of Computer and Information Technology Engineering, Khoy Branch, Islamic Azad University, Khoy, Iran
2 Assistant Professor of Department of Computer and Information Technology Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran
3 Department of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
10.30467/nivar.2024.465389.1297
Abstract
Increasing contrast is one of the vital issues in meteorological image processing, which is crucial for improving image quality and weather condition detection. One of the most common methods for enhancing contrast in digital images is histogram equalization. This method is simple and effective, but it often leads to illogical contrast enhancement and displaying images in an unnatural and poor manner. Furthermore, the average brightness of the images is not properly preserved. In this article, a new method for balancing images while maintaining brightness is introduced. This method modifies the histogram of the original image using fuzzy logic and controls the balancing rate by applying a thresholding process. Initially, the average intensity of gray levels is found, and the histogram is divided into two parts. Then, by finding the average of the two sub-histograms, the histogram is divided into four parts. For dynamic equalization, a new range is defined, and each of the sub-histograms is balanced individually. Finally, a normalization process is applied to the output image to preserve the average brightness. Simulation results show that this new method has significantly improved the quality of black and white meteorological images while maintaining brightness.
Keywords
Fuzzy
Histogram
Meteorology
Quality
Subjects
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  • Receive Date 29 June 2024
  • Revise Date 19 September 2024
  • Accept Date 01 October 2024
  • Publish Date 22 September 2024