NDLI: A New Wave-Front Reconstruction Method for Adaptive Optics Systems Using Wavelets

Content Provider	IEEE Xplore Digital Library
Author	Hampton, P.J. Agathoklis, P. Bradley, C.
Copyright Year	2007
Abstract	A new technique for wave-front reconstruction from gradient measurements on a square data set is presented. This technique is based on obtaining the Haar wavelet image decomposition of the original wave-front by appropriate filtering and down-sampling of the gradient measurement data. The use of the wavelet decomposition leads to an algorithm with complexity of O(N), where N is the number of data points in the reconstruction, and at the same time allows denoising of the data using the wavelet coefficients. The proposed technique is illustrated with two examples and its reconstruction accuracy, computational speed and denoising performance are discussed. Results indicate that the proposed technique is a computationally efficient and accurate technique for wave-front and/or image reconstruction from gradient measurements.
Sponsorship	IEEE Signal Processing Society
Starting Page	781
Ending Page	792
Page Count	12
File Size	779757
File Format	PDF
ISSN	19324553
Volume Number	2
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reconstruction algorithms Adaptive optics Image reconstruction Shape measurement Matrix decomposition Sensor arrays Costs Optical distortion Noise reduction Matrix converters wave-front reconstruction Haar transforms image reconstruction
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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