Performance bounds for computational imaging

Oliver Strides Cossairt, Ashok Veeraraghavan, Kaushik Mitra, Mohit Gupta

Research output: Chapter in Book/Report/Conference proceedingConference contribution


A number of computational imaging techniques have been introduced to improve image quality by increasing light throughput. These techniques use optical coding to measure a stronger signal level. However, the performance of these techniques is limited by the decoding step, which amplifies noise. While it is well understood that optical coding can increase performance at low light levels, little is known about the quantitative performance advantage of computational imaging in general settings. Existing analyses are limited in two ways: (1) most analyses assume a signal independent noise model and ignore signal dependent noise and (2) most analyses neglect to model scene priors. Accurate analysis of multiplexing imaging systems requires us to explicitly consider the effect of both signal dependent photon noise and scene priors. In this work, we perform a careful analytical characterization of the effects of multiplexing under (a) a noise model incorporating both signal dependent and signal independent noise and (b) scene priors modeled both as a Gaussian and as a mixture of Gaussians (GMM). We then discuss the implications of these bounds for several real-world scenarios (illumination conditions, scene properties and sensor noise characteristics).

Original languageEnglish (US)
Title of host publicationComputational Optical Sensing and Imaging, COSI 2013
PublisherOptical Society of America
ISBN (Print)9781557529756
StatePublished - Jan 1 2013
EventComputational Optical Sensing and Imaging, COSI 2013 - Arlington, VA, United States
Duration: Jun 23 2013Jun 27 2013


OtherComputational Optical Sensing and Imaging, COSI 2013
CountryUnited States
CityArlington, VA

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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    Cossairt, O. S., Veeraraghavan, A., Mitra, K., & Gupta, M. (2013). Performance bounds for computational imaging. In Computational Optical Sensing and Imaging, COSI 2013 Optical Society of America.