Open Access Library Journal 2024, Volume 11, e11388 ISSN Online: 2333-9721 ISSN Print: 2333-9705 DOI: 10.4236/oalib.1111388 Apr. 29, 2024 1 Open Access Library Journal Analysis Equalization Images Contrast Enhancement and Performance Measurement Azhar W. Talab, Noor K. Younis, Marwa Riyadh Ahmed Technical Engineering College, Northern Technical University, Mosul, Iraq Abstract These days, image processing is crucial, particularly when it comes to en- hancing brightness, contrast, and image quality. The goal of this research is to develop three distinct methods for manipulating images and evaluating them using histogram, entropy, and PSNR—two image-specific metrics. Frame Fu- sion produces excellent results in image contrast, brightness, and enhance- ment through the standards of PSNR, histogram, and entropy. In comparison to its competitors, the technology performed better in terms of high pixel un- iformity in images, consistency efficiency, processing and execution speed, and contrast quality. The aforementioned findings lead us to the conclusion that exposure frame fusion technology is highly effective at figuring out how to improve the contrast and brightness of computer images. Three image processing techniques were used: exposure frame fusion, dynamic histogram equalization, and histogram equalization. A comparison of the techniques using quantitative and physical criteria revealed that histogram equalization outperformed dynamic contrast techniques in several areas, including image uniformity, contrast quality, efficiency, execution speed, and accuracy of re- sults. It is advised to use exposure frame fusion in addition to histogram equalization since it is the brightest, clearest, and most like the original im- ages. Subject Areas Computer Engineering Keywords Image Contrast Enhancement, Exposure Fusion Framework, Entropy, PSNR, Histogram 1. Introduction “Contrast” describes taking pictures with a professional camera vs a cell phone. How to cite this paper: Talab, A.W., Younis, N.K. and Ahmed, M.R. (2024) Analysis Equalization Images Contrast Enhance- ment and Performance Measurement. Open Access Library Journal, 11: e11388. https://doi.org/10.4236/oalib.1111388 Received: March 2, 2024 Accepted: April 26, 2024 Published: April 29, 2024 Copyright © 2024 by author(s) and Open Access Library Inc. This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/ Open Access