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Inverse-designed metasurfaces for wavefront restoration in under-display camera systems.
Jaegang Jo1, Myunghoo Lee2, Seunghyun Lee1
1Department of Electronic Engineering, Hanyang University, Seoul, 04763, Republic of Korea.
Nanophotonics (Berlin, Germany)
|September 2, 2025
Summary
This study introduces a novel metasurface to fix image distortions caused by under-display cameras (UDCs). This optical solution enhances image quality in real-time without needing complex software processing.
Area of Science:
- Optics and Photonics
- Materials Science
- Consumer Electronics
Background:
- Under-display camera (UDC) systems offer seamless full-screen smartphone displays.
- Display pixel structures cause optical diffraction, leading to imaging artifacts and reduced quality.
- Current software-based solutions for UDC distortion are computationally intensive and not real-time viable.
Purpose of the Study:
- To develop a real-time, software-free optical solution for diffraction-induced distortions in UDC systems.
- To restore wavefronts and enhance imaging quality for UDCs using metasurfaces.
- To overcome the limitations of conventional, computationally expensive image processing techniques.
Main Methods:
- Inverse design of a metasurface for wavefront restoration.
- Fabrication and characterization of the metasurface.
- Integration and testing of the metasurface within a UDC system simulation or prototype.
Main Results:
- The metasurface effectively suppresses higher-order diffraction modes from metallic pixel structures.
- Optical wavefront restoration is achieved, significantly enhancing imaging quality.
- The solution operates effectively across multiple wavelengths without external software processing.
Conclusions:
- The proposed inverse-designed metasurface provides a scalable, real-time optical solution for diffraction management in UDC systems.
- This approach eliminates the need for software-based post-processing, enabling efficient image restoration.
- The technology has potential applications in various industrial fields requiring real-time image quality enhancement.

