Computational Imaging

Dear Colleagues,

Computational imaging (CI) is transforming the way information is acquired, reconstructed and interpreted across optical, electromagnetic, biomedical, remote sensing and intelligent sensing systems. By jointly designing sensing hardware, signal models and computational algorithms, it enables high-resolution, high-speed and information-rich imaging beyond the limits of conventional acquisition systems. This Topic invites original research and review articles on advances in CI theory, systems and applications, including radar, millimeter-wave and terahertz imaging, sparse and compressive imaging, metasurface- and antenna-based imaging, image reconstruction, optimization, machine learning and artificial intelligence-enabled sensing. Contributions addressing photonic and optical imaging, sensor arrays, wireless sensing, remote sensing-based image formation, biomedical and cellular imaging and embedded electronic imaging platforms are also welcome. We particularly encourage interdisciplinary studies that combine innovative hardware with robust algorithms to improve resolution, efficiency, interpretability and deployment in real-world environments.

This topic aims to provide a forum for researchers working at the intersection of imaging science, signal processing, photonics, sensing, and computational intelligence.

Dr. Amir Masoud Molaei
Dr. Mengran Zhao
Dr. Shaoqing Hu
Topic Editors