Abstract: Computational photography is an emerging field targeting for overcoming limitations of conventional photography, and holds great potential for building both new consumer cameras and scientific observation instruments. At the convergence of multiple disciplines, including computer vision, graphics, optics, and signal processing, computational photography has opened new frontiers in the past decade. Academia and industry together witnessed a series of innovative and exciting progress. The emerging field is full of opportunities and challenges. Here, we dedicate this special feature on computational photography to advancing the studies of this field.
  From the viewpoint of the dimension of captured visual signals, we can categorize the studies in computational photography into several groups: spatial structure imaging, multi-spectral capture, phase imaging, temporal information recording, etc. Besides the acquisition of light signals, computational photography also benefits from the development of electrooptical technologies. To provide a comprehensive overview of this field, this special feature is composed of one invited research paper on recent progress in on-chip optical interconnects and seven invited review papers on computational photography, including an overview of the whole field and six surveys on computational acquisition along various dimensions of the visual signals.

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