Abstract
Computational imaging describes the whole imaging process fromthe perspective of light transport and information transmission, featurestraditional optical computing capabilities, and assists in breakingthrough the limitations of visual information recording. Progressin computational imaging promotes the development of diverse basicand applied disciplines. In this review, we provide an overview ofthe fundamental principles and methods in computational imaging, thehistory of this field, and the important roles that it plays in thedevelopment of science. We review the most recent and promising advancesin computational imaging, from the perspective of different dimensionsof visual signals, including spatial dimension, temporal dimension,angular dimension, spectral dimension, and phase. We also discusssome topics worth studying for future developments in computationalimaging.