Multi-aperture photography

  • Authors:
  • Paul Green;Wenyang Sun;Wojciech Matusik;Frédo Durand

  • Affiliations:
  • Massachusetts Institute of Technology;Mitsubishi Electric Research Laboratory;Mitsubishi Electric Research Laboratory;Massachusetts Institute of Technology

  • Venue:
  • ACM SIGGRAPH 2007 papers
  • Year:
  • 2007

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Abstract

The emergent field of computational photography is proving that, by coupling generalized imaging optics with software processing, the quality and flexibility of imaging systems can be increased. In this paper, we capture and manipulate multiple images of a scene taken with different aperture settings (f-numbers). We design and implement a prototype optical system and associated algorithms to capture four images of the scene in a single exposure, each taken with a different aperture setting. Our system can be used with commercially available DSLR cameras and photographic lenses without modification to either. We leverage the fact that defocus blur is a function of scene depth and f/# to estimate a depth map. We demonstrate several applications of our multi-aperture camera, such as post-exposure editing of the depth of field, including extrapolation beyond the physical limits of the lens, synthetic refocusing, and depth-guided deconvolution.