Benefits of optical system diversity for multiplexed image reconstruction
Applied Optics, Vol. 45, Issue 13, pp. 2859-2870 (2006)
http://dx.doi.org/10.1364/AO.45.002859
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Abstract
Algorithms that use optical system diversity to improve multiplexed image reconstruction from multiple low-resolution images are analyzed and demonstrated. Compared with systems using identical imagers, systems using additional lower-resolution imagers can have improved accuracy and computation. The diverse system is not sensitive to boundary conditions and can take full advantage of improvements that decrease noise and allow an increased number of bits per pixel to represent spatial information in a scene.
© 2006 Optical Society of America
OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(100.3190) Image processing : Inverse problems
(100.6640) Image processing : Superresolution
(110.0110) Imaging systems : Imaging systems
ToC Category:
Image Reconstruction
History
Original Manuscript: August 24, 2005
Manuscript Accepted: October 25, 2005
Citation
Hseuh-Ban Lan, Sally L. Wood, Marc P. Christensen, and Dinesh Rajan, "Benefits of optical system diversity for multiplexed image reconstruction," Appl. Opt. 45, 2859-2870 (2006)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-45-13-2859
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