Compressive Optical MONTAGE Photography Initiative: Noise and Error Analysis
David J. Brady, Michael A. Fiddy, Umer Shahid, Thomas J. Suleski · Adaptive Optics: Analysis and Methods/Computational Optical Sensing and Imaging/Information Photonics/Signal Recovery and Synthesis Topical Meetings on CD-ROM · 2005
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.