Enhancement of Digital Images Using Discrete Cosine Transform (DCT): Quality Analysis Based on PSNR and SSIM Metrics

Authors

  • Huda Farag Alspihe General Department, College Science and Technology, Qaminis, Libya
  • Amira Alsaid Hashem General Department, College Science and Technology, Qaminis, Libya
  • Hala Ail Shelo Department of Mathematics, Faculty of Science, Benghazi University, Jalo, Libya

Keywords:

Digital Images, Image Enhancement, Discrete Cosine Transform Function

Abstract

The field of image processing has witnessed significant growth, largely due to the widespread application of digital image processing techniques across various domains. These applications often share a common requirement: the need for methods that enhance pictorial information to facilitate human interpretation and analysis. This study aims to apply a frequency-based enhancement technique to improve distorted digital photographs. One such technique is the Discrete Cosine Transform (DCT), which has demonstrated promising results. The application of this method to grayscale images affected by distortions led to noticeable improvements in overall image quality.

Dimensions

Published

2025-08-24

How to Cite

Huda Farag Alspihe, Amira Alsaid Hashem, & Hala Ail Shelo. (2025). Enhancement of Digital Images Using Discrete Cosine Transform (DCT): Quality Analysis Based on PSNR and SSIM Metrics. North African Journal of Scientific Publishing (NAJSP), 3(3), 236–242. Retrieved from https://najsp.com/index.php/home/article/view/576

Issue

Section

محور العلوم التطبيقية والطبيعية