One approach to flat sensor design is to use a lenslet array to form multiple subimages of a scene and then combine the subimages to recover a fully sampled image by using a superresolution algorithm. Previously, superresolution image assembly has been based on information derived from the observed scene. For lenslet arrays, we propose a new scene-independent approach based only on known imager properties in which relative subimage shifts are accurately estimated with a calibration procedure using point source imaging. Thus, the relative resolution enhancement provided by the scene-independent superresolution algorithm is impervious to changes in subimage content, contrast, sharpness, and noise.
© 2007 Optical Society of America
Original Manuscript: June 1, 2007
Revised Manuscript: July 30, 2007
Manuscript Accepted: August 21, 2007
Published: September 27, 2007
A. V. Kanaev, J. R. Ackerman, E. F. Fleet, and D. A. Scribner, "TOMBO sensor with scene-independent superresolution processing," Opt. Lett. 32, 2855-2857 (2007)