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  • Adaptive Optics: Analysis and Methods/Computational Optical Sensing and Imaging/Information Photonics/Signal Recovery and Synthesis Topical Meetings on CD-ROM
  • Technical Digest (Optica Publishing Group, 2005),
  • paper CMB3
  • https://doi.org/10.1364/COSI.2005.CMB3

Compressive Optical MONTAGE Photography Initiative: Noise and Error Analysis

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Abstract

Image resolution is usually considered to be proportional to the focal plane sampling rate. However, as a result of Papoulis’s generalized sampling theory [1], it is possible to reconstruct bandlimited images from sub-Nyquist sampled data provided multiple channels of such data are measured, with each set suitably transformed to permit the computation of the original image. The COMP-I program uses focal plane coding to set sub-band sampling characteristics. Analysis and simulation of this approach to errors and noise is presented.

© 2005 Optical Society of America

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