Extended depth of field using shapelet-based image analysis
Applied Optics, Vol. 47, Issue 2, pp. 169-178 (2008)
http://dx.doi.org/10.1364/AO.47.000169
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Abstract
One way to extend depth of field of any optical system is to take several images with different focus positions and combine them into a single composite image, which contains all regions fully focused. The challenge then becomes to select from each image the pixels that are in focus. We describe a new focus measure based on the shapelet decomposition. Results using simulated images with high noise content show that the shapelet-based focus measure is the most performance that traditional neighborhood-based focus approaches. Similarly shapelet focus measure provides significant improvement compared to traditional methods when objects have nontextured or homogeneous regions.
© 2008 Optical Society of America
OCIS Codes
(100.2000) Image processing : Digital image processing
(100.3010) Image processing : Image reconstruction techniques
(170.3010) Medical optics and biotechnology : Image reconstruction techniques
(110.3010) Imaging systems : Image reconstruction techniques
ToC Category:
Image Processing
History
Original Manuscript: August 20, 2007
Revised Manuscript: November 2, 2007
Manuscript Accepted: November 6, 2007
Published: January 8, 2008
Virtual Issues
Vol. 3, Iss. 2 Virtual Journal for Biomedical Optics
Citation
Jaime Meneses, Miguel A. Suarez, José Braga, and Tijani Gharbi, "Extended depth of field using shapelet-based image analysis," Appl. Opt. 47, 169-178 (2008)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-47-2-169
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