Thursday, May 2025

05:00 PM - 08:00 PM

Room: 220A

Session: Applied Vision Posters

Advanced Image Comparison Metric for Discerning Subtle Distinctions in Visual Quality

Description:

Traditional image quality evaluation methods often fail to detect subtle differences crucial for high-stakes applications. Until now, discerning these minute variations has largely been a manual endeavor that is expensive, time-consuming, and lacks repeatability, while existing algorithms like PSNR, SSIM, LPIPS, and FID lack sensitivity. This paper introduces three advancements: effective use of existing metrics for subtle comparisons, a new no-reference metric for detecting fine artifacts, and a novel methodology for detailed image comparison. Using image super-resolution as a case study, our method captures critical nuances missed by previous analyses.