Perceptual Image Enhancement for Smartphone Real-Time Applications. (arXiv:2210.13552v1 [cs.CV])

Recent advances in camera designs and imaging pipelines allow us to capture
high-quality images using smartphones. However, due to the small size and lens
limitations of the smartphone cameras, we commonly find artifacts or
degradation in the processed images. The most common unpleasant effects are
noise artifacts, diffraction artifacts, blur, and HDR overexposure. Deep
learning methods for image restoration can successfully remove these artifacts.
However, most approaches are not suitable for real-time applications on mobile
devices due to their heavy …

applications arxiv image real-time real-time applications smartphone