Lensless Imaging

Lensless imaging aims to create cameras without traditional lenses, relying instead on computational algorithms to reconstruct images from sensor measurements through coded apertures or other optical elements. Current research heavily utilizes deep learning, particularly generative adversarial networks (GANs) and vision transformers (ViTs), along with physics-informed models to improve image quality, robustness to varying lighting conditions, and address challenges like biofouling. This field is significant for its potential to create compact, low-cost, and privacy-preserving imaging systems with applications ranging from biomedical imaging and environmental monitoring to novel security and surveillance technologies.