Hybrid Computational Imaging Techniques

摘要

Significant advances are being made in exploiting the benefits of hybrid imaging techniques, partly as a result of the evolution in modern focal plane technologies and the ability to process the outputs of the detector array using fast algorithms on a real time basis. Such advances are appearing in areas as diverse as coded aperture imaging, pupil plane encoding and compressive sensing. In some cases it is also possible to address the challenges presented in discriminative imagery, with a goal of reducing the datasets associated with polarimetry or spectral hypercubes. This paper will present a review of advances in the field, with particular attention to the consideration of advanced adaptive coded aperture techniques.