I. The theory of compressive sensing and its applications in optics. Introduction to compressive sensing theory. Compressive sensing theory for optical systems described by a continuous model. Multi-channel data acquisition optics design for compressive sensing. Special challenges in application of CS for optical imaging and sensing II. Compressive imaging systems. Optical architectures for compressive imaging. Terahertz imaging with compressed sensing. Infrared imaging with compressed sensing. Motion compressive sensing. III. Compressive holography and compressive 3D imaging. Compressive holography. Performance analysis of Compressive Holography. Incoherent Compressive Holography. Compressive Integral Imaging. Compressive light-field sensing. IV. Spectral, hyperspectral imaging, and polarimetric compressive sensing systems. Compressive coded aperture spectral imaging. Compressive spectral and hyperspectral sensing with layered devices. Compressive polarimetric sensing. V. Seeing fine details with compressive sensing: microscopy and super-resolution. Super-resolution of sparse images using coherent and incoherent light. Compressive fluorescents microscopy. STORM using compressed sensing. CS methods for lens-free, on-chip microscopy. VI. Phase sensing, phase retrieval and phase tomography. Phase space tomography . Phase retrieval of sparse images.
Biography
Adrian Stern
