Friday, May 2025

11:00 AM - 11:20 AM

Room: 220C

Session: Artificial Intelligence for AR/VR/MR

Deep Learning-Based Self-Interference Incoherent Digital Holography Encoding for Optical Reconstruction

Student

• 

  Professor

  Sung-Wook Min , PhD

  Kyung Hee University

Description:

We propose a self-interference incoherent holography encoding method for enhancing the optical reconstruction performance using deep learning. Self-interference incoherent digital holography records complex holograms under incoherent illumination conditions. However, conventional optical reconstruction of self-interference incoherent digital holography is conducted by phase-only modulation or amplitude-only modulation. Considering non-linear representation ability of deep neural networks, we utilize the multi-layer perceptron as a non-linear phase mapping function. We design the optimization pipeline to find the phase encoding for phase-only holographic displays and, an optical demonstration of the proposed phase encoding method is presented.