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Conferences > COSI > 2014 > CW4C > CW4C.3

Sparse and Redundant Dictionaries for Representation of Atmospheric Turbulence Point Spread Functions

B R Huut and K Kuox

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Abstract

Sparse representation of data has grown rapidly in signal processing. Herein we represent atmospheric turbulence point-spread-functions by training optimal overcomplete dictionaries from atmospheric turbulence data. Implications for blind-deconvolution of turbulent images are discussed.

© 2014 Optical Society of America

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