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

المؤلفون

  • 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

الكلمات المفتاحية:

Digital Images، Image Enhancement، Discrete Cosine Transform Function

الملخص

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

منشور

2025-08-24

كيفية الاقتباس

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. مجلة شمال إفريقيا للنشر العلمي (NAJSP), 3(3), 236–242. استرجع في من https://najsp.com/index.php/home/article/view/576

إصدار

القسم

محور العلوم التطبيقية والطبيعية