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Integrating Spatial and Frequency Information for Under-Display Camera Image Restoration by Ahn, Kyusu; Kim, Jinpyo; Park, Chanwoo; Kim, JiSoo; Lee, Jaejin is a scholarly article available to read on EtoBox.

What is Integrating Spatial and Frequency Information for Under-Display Camera Image Restoration about?

Under-Display Camera (UDC) houses a digital camera lens under a display panel. However, UDC introduces complex degradations such as noise, blur, decrease in transmittance, and flare. Despite the remarkable progress, previous research on UDC mainly focuses on eliminating diffraction in the spatial domain and rarely explores its potential in the frequency domain. It is essential to consider both the spatial and frequency domains effectively. For example, degradations, such as noise and blur, can be addressed by local information (e.g., CNN kernels in the spatial domain). At the same time, tackling flares may require leveraging global information (e.g., the frequency domain). In this paper, we revisit the UDC degradations in the Fourier space and figure out intrinsic frequency priors that imply the presence of the flares. Based on this observation, we propose a novel multi-level DNN architecture called SFIM. It efficiently restores UDC-distorted images by integrating local and global (the collective contribution of all points in the image) information. The architecture exploits CNNs to capture local information and FFT-based models to capture global information. SFIM comprises a spati

Author

Ahn, Kyusu; Kim, Jinpyo; Park, Chanwoo; Kim, JiSoo; Lee, Jaejin

Published

2025

Language

EN