Analysis of the Impact of RGB-to-Achromatic Color Space Transformations on Single-Image Superresolution Performance

• DOI: 10.34248/bsengineering.1597236
• Publication Date: 2025-03-09T13:30:23Z
• Authors: Hürkal Hüsem; Zeynep Gürkaş Aydın; Önder Demir
• Keywords: Achromatic lens; RGB color model

Super-resolution techniques are employed to enhance the quality of digital images. Color spaces developed model colors in various environments. In literature, several studies suggest that applying color space transformations and subsequently employing super-resolution on transformed im-ages improve image quality. This study analyzes impact trans-formations applications. The analysis is conducted by performing process entirely RGB space, followed converting obtained result into a different comparing metrics. findings reveal it possible achieve higher scores images YCbCr or CIELab spaces, despite no actual improvement perceived Our experiments involve enhancement solely within results alternative them with ground truth Set5, Set14, BSDS100, Urban100. Working other than does not lead significant visual improvement. demonstrate through conversion, traditional metrics such as PSNR SSIM, well deep learning-based like DISTS A-DISTS, can yield scores. Therefore, observed improvements resulting from may be misleading reflect enhancements fidelity.