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A Wavelet based Algorithm for Optical Phase Reconstruction from Local Gradient Measurements by Professor Roberto Cristi Dept. of Electrical and Computer Engineering Naval Postgraduate School October 2014

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Page 1: Welcome - Naval Postgraduate School · Web viewA Wavelet based Algorithm for Optical Phase Reconstruction from Local Gradient Measurements by Professor Roberto Cristi Dept. of Electrical

A Wavelet based Algorithm for Optical Phase Reconstruction from

Local Gradient Measurementsby

Professor Roberto CristiDept. of Electrical and Computer Engineering

Naval Postgraduate SchoolOctober 2014

Abstract.

The problem of optical phase reconstruction is at the basis of Adaptive Optics systems, where phase distortion due to atmospheric turbulence is properly compensated in real time by a deformable mirror. In this class

Page 2: Welcome - Naval Postgraduate School · Web viewA Wavelet based Algorithm for Optical Phase Reconstruction from Local Gradient Measurements by Professor Roberto Cristi Dept. of Electrical

of applications local phase slopes are measured by a wave-front Sensor  and the phase has to be properly estimated. The 2D field of the phase distortion affecting the optical system can be  assumed irrotational in the presence of low level of turbulence,  but it becomes rotational when the level of atmospheric turbulence is higher.

In this research we present an efficient algorithm for 2D phase reconstruction from local gradients of an irrotational field. The proposed approach is based on a 2D sampled model of the Shack-Hartmann wave-front Sensor and its relation to the impulse responses of the Quadrature Mirror Filters, at the basis of the Wavelet Transform.  As it is standard in Wavelet Transform, the estimation is obtained by successive analysis and synthesis operations, where the signal is decomposed into its frequency sub-band components and then reassembled.  A rich family of orthogonal Wavelets (Bi-orthogonal or Daubechies) can be used to make the bands more frequency selective thus improving smoothness and noise sensitivity.

When the field is rotational, which is the case of wrapped phase measurements and/or boundary conditions due to non-rectangular apertures, it is shown that the algorithm can still be applied, after proper correction of the rotational field. In particular, it is proved that in the case of irrotational components due to wrapped phase observations (i.e. where local phase variations are measured modulo 2 radians), the proposed algorithm yields a good estimate of the wrapped phase.

Date: Thursday, October 30 th , 3 PM

Location: Herrmann Hall West Wing Fourth Floor, Room 410W (Didactic Conference Room)

This presentation (according to the speaker) will have an informal flavor and unclassified thus open to NPS community –all are welcome to attend.