Performance comparison index for image super-resolution models

Koçmarlı G., ESMER G. B.

Signal, Image and Video Processing, cilt.18, sa.11, ss.7811-7819, 2024 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 18 Sayı: 11
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1007/s11760-024-03430-8
  • Dergi Adı: Signal, Image and Video Processing
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, zbMATH
  • Sayfa Sayıları: ss.7811-7819
  • Anahtar Kelimeler: Fourier transform, harmonics analysis, Image quality assessment, Super-resolution
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

Image super-resolution is a critical aspect of image enhancement, facilitating the reconstruction of high-quality images from low-resolution inputs. Traditional quality assessment metrics like SSIM, MSE, and PSNR have limitations in effectively evaluating super-resolution models due to their focus on pixel values and statistical properties, overlooking overall visual quality. This article introduces a technique for comparing super-resolution models using a pattern-based approach. The proposed method evaluates image quality by analyzing the harmonics, providing a performance comparison index that surpasses traditional metrics. By focusing on the frequency domain and magnitudes of Fourier components, this technique effectively captures image features and patterns, enabling a more comprehensive assessment of super-resolution model performance.