Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network
Ruicheng Feng, Chongyi Li, Huaijin G. Chen, Shuai Li, Chen Change Loy, Jinwei Gu
2021Year
10Top-tier citations
Abstract
UDC images (a) Simulated data Our results (b) Real data Figure 1. Removing Diffraction Artifacts from Under-Display Camera (UDC) images. The major degradations caused by light diffraction, e.g., flare, blur, and haze, could significantly affect the visual quality of UDC images. Our method effectively restores fine details and suppresses the diffraction effects of UDC images.
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Install the CLIlune papers fulltext d7815d7d-0731-45ce-ba3c-ed8aab12e541Cited by top-tier papers10
- BNUDC: A Two-Branched Deep Neural Network for Restoring Images from Under-Display CamerasJaihyun Koh, Jangho Lee, Sungroh YoonCVPR 2022 · 25 citations
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- FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display CamerasChengxu Liu, Xuan Wang, Shuai Li, Yuzhi Wang et al.ICCV 2023 · 22 citations
- Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display CameraChengxu Liu, Xuan Wang, Yuanting Fan, Shuai Li et al.AAAI 2024 · 10 citations
- Learnable Fractional Reaction-Diffusion Dynamics for Under-Display ToF Imaging and BeyondXin Qiao, Matteo Poggi, Xing Wei, Pengchao Deng et al.ICCV 2025 · 2 citations
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- Kernel Modeling Super-Resolution on Real Low-Resolution ImagesRuofan Zhou, Sabine SüsstrunkICCV 2019 · 149 citations
- Image Restoration for Under-Display CameraYuqian Zhou, David Ren, Neil Emerton, Sehoon Lim et al.CVPR 2021
- Learning Rank-1 Diffractive Optics for Single-Shot High Dynamic Range ImagingQilin Sun, Ethan Tseng, Qiang Fu, Wolfgang Heidrich et al.CVPR 2020
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