When Numbers See What Eyes Miss: Rethinking Image Quality
We often trust our eyes. After all, eyes are what help us see. But when tuning images, the human eye can be biased. Sometimes what looks fine hides banding, noise, and graininess. That’s where objective analysis enters. It does not replace human judgment — it rather sharpens it. Two POVs of Image Evaluation Any image can be seen from two views: subjective and objective. Subjective quality lives in perception, while objective quality lives in the data analyzed. Though both feel contrasting,...