Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Performance Bounds for Computational Imaging

Not Accessible

Your library or personal account may give you access

Abstract

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).

© 2013 Optical Society of America

PDF Article  |   Presentation Video
More Like This
Fisher-information-based performance bounds of certain integrated imaging systems

Sudhakar Prasad
CMA3 Computational Optical Sensing and Imaging (COSI) 2005

Estimation-theoretic performance bounds for certain integrated imaging systems

Sudhakar Prasad
FThU3 Frontiers in Optics (FiO) 2005

Optical Performance of Computational Diffractive Imagers

Thomas Vogelsang, Patrick R. Gill, Jay Endsley, and David G. Stork
CTh1D.2 Computational Optical Sensing and Imaging (COSI) 2016

Presentation Video

Presentation video access is available to:

  1. Optica Publishing Group subscribers
  2. Technical meeting attendees
  3. Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads


More Like This
Fisher-information-based performance bounds of certain integrated imaging systems

Sudhakar Prasad
CMA3 Computational Optical Sensing and Imaging (COSI) 2005

Estimation-theoretic performance bounds for certain integrated imaging systems

Sudhakar Prasad
FThU3 Frontiers in Optics (FiO) 2005

Optical Performance of Computational Diffractive Imagers

Thomas Vogelsang, Patrick R. Gill, Jay Endsley, and David G. Stork
CTh1D.2 Computational Optical Sensing and Imaging (COSI) 2016

Computational Imaging in an Aerospace Company

Bob Gibbons, Scott McCain, Lenore McMackin, Matthew A. Herman, and Amit Ashok
CW2C.1 Computational Optical Sensing and Imaging (COSI) 2013

Statistical Performance Bounds for Coded-Aperture Compressive Spectral-Polarimetric Imaging

S. Prasad, Q. Zhang, R. Plemmons, and D. Brady
CTu3B.1 Computational Optical Sensing and Imaging (COSI) 2012

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved