Improving Digital Image Clarity: A Study on the Application of Histogram Equalization for Noise Correction

Authors

  • Surmayanti University of Putra Indonesia YPTK Padang
  • Sumijan University of Putra Indonesia YPTK Padang

DOI:

10.33395/sinkron.v8i2.13564

Keywords:

Digital image, noise, clarity, image quality, histogram equalization

Abstract

This study aims to improve the clarity of digital images by examining the application of the histogram equalization method for noise correction. Noise in digital images is often a major challenge in maintaining the clarity and authenticity of visual information. Histogram equalization has been recognized as an effective method in improving image contrast and reducing the effects of noise. In this research, we conducted experiments by applying histogram equalization techniques to various types of digital images that are affected by noise. We analyzed the results by comparing the clarity and quality of the images before and after applying this method. The results of this research show that histogram equalization is able to significantly improve the clarity of digital images by reducing the effects of noise without sacrificing important details in the image. The implication of this discovery is the potential use of the histogram equalization method as an effective tool in improving the quality of digital images that are affected by noise.

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How to Cite

Surmayanti, & Sumijan. (2024). Improving Digital Image Clarity: A Study on the Application of Histogram Equalization for Noise Correction. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 8(2), 1073-1079. https://doi.org/10.33395/sinkron.v8i2.13564

Issue

Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024

Section

Articles

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Copyright (c) 2024 Surmayanti, Sumijan

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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