Deep Optic

Deep optics leverages deep learning to design and optimize optical systems, moving beyond traditional lens design methods. Current research focuses on developing novel algorithms, often incorporating transformers or other advanced architectures, to jointly optimize both optical elements (like masks or lenses) and computational reconstruction processes for various imaging tasks. This approach enables the creation of compact, efficient imaging systems with improved performance in areas such as video snapshot compressive imaging, light-field acquisition, and even privacy-preserving medical imaging. The resulting advancements have significant implications for diverse fields, ranging from consumer electronics to medical diagnostics.