Human
The presence of humans alone does not pose a significant challenge to restoration. Instead, the restoration difficulty hinges on how UDC degradations, such as noise, blur, transmittance decrease, and flare, impact humans. For example, despite the presence of flares in the frames, they do not affect humans. However, the reflection of fluorescent light on the person’s glasses poses challenges for restoring fine details around the eyes. Sometimes, human faces appear reddish in the input frames compared to the ground-truth frames due to UDC-induced diffraction occurring differently across RGB channels. Moreover, the restored facial colors vary among models. In applications like face recognition for smartphone unlocking, financial authentication, and video conferencing, it is crucial to consider these diverse UDC degradations for accurate human restoration since facial color is crucial in images or videos.
Visual comparison
