Computer Vision News - October 2021

2 Summary Co puter Vision Research 4 If you like to play around with the quality of cameras in your tech devices, this might become your favourite CVPR paper of the year. The subject of this research is indeed how to remove image artifacts in the newly defined imaging system called Under-Display Camera (UDC), which is employed in some smartphones, for videoconferencing with UDC TV, laptops, or tablets. UDC introduces a new class of complex image degradation problems (strong flare, haze, blur, and noise), which still need to be satisfactorily dealt with by the computer vision community. A typical UDC system is constituted by a camera module placed underneath and closely attached to the semi-transparent Organic Light-Emitting Diode (OLED) display. Dear readers, welcome back to a new issue of Computer Vision News full of great research! This month we are reviewing a paper fromCVPR 2021, Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network , written by Ruicheng Feng, Chongyi Li, Huaijin Chen, Shuai Li, Chen Change Loy, Jinwei Gu. We are indebted to the authors for allowing us to use their images to illustrate this review. Their paper can be found here. Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network by Marica Muffoletto The picture on the left illustrates how this setup affects the light propagation: although the display looks partially transparent, the gaps between the display pixels (a), where the light can pass through, are usually in the micrometer scale and hence the incoming light gets substantially diffracted. This effect is modelled through a Point Spread Function that can be measured to convert a Real HDR Scene into a UDC image. This paper aims to mathematically describe this phenomenon and investigate the artefacts caused by the diffraction effects in such a system.