Signal-processing approaches for image-resolution restoration for TOMBO imagery
Applied Optics, Vol. 47, Issue 10, pp. B104-B116 (2008)
http://dx.doi.org/10.1364/AO.47.00B104
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Abstract
Thin observation module by bounded optics (TOMBO) is an optical system that achieves compactness and thinness by replacing a conventional large full aperture by a lenslet array with several smaller apertures. This array allows us to collect diverse low-resolution measurements. Finding an efficient way of combining these diverse measurements to make a high-resolution image is an important research problem. We focus on finding a computational method for performing the resolution restoration and evaluating the method via simulations. Our approach is based on advanced signal-processing concepts: we construct a computational data model based on Fourier optics and propose restoration algorithms based on minimization of an information-theoretic measure, called Csiszár’s
© 2008 Optical Society of America
OCIS Codes
(100.0100) Image processing : Image processing
(100.2980) Image processing : Image enhancement
(100.3020) Image processing : Image reconstruction-restoration
(100.3190) Image processing : Inverse problems
(100.6640) Image processing : Superresolution
(110.1758) Imaging systems : Computational imaging
ToC Category:
Image Processing
History
Original Manuscript: September 11, 2007
Revised Manuscript: February 1, 2008
Manuscript Accepted: February 8, 2008
Published: March 20, 2008
Citation
Kerkil Choi and Timothy J. Schulz, "Signal-processing approaches for image-resolution restoration for TOMBO imagery," Appl. Opt. 47, B104-B116 (2008)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-47-10-B104
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