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Journal of Electronic Imaging

Wavelet burst accumulation for turbulence mitigation
Author(s): Jérôme Gilles; Stanley Osher
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Paper Abstract

We investigate the extension of the recently proposed weighted Fourier burst accumulation (FBA) method into the wavelet domain. The purpose of FBA is to reconstruct a clean and sharp image from a sequence of blurred frames. This concept lies in the construction of weights to amplify dominant frequencies in the Fourier spectrum of each frame. The reconstructed image is then obtained by taking the inverse Fourier transform of the average of all processed spectra. We first suggest replacing the rigid registration step used in the original algorithm with a nonrigid registration in order to process sequences acquired through atmospheric turbulence. Second, we propose to work in a wavelet domain instead of the Fourier one. This leads us to the construction of two types of algorithms. Finally, we propose an alternative approach to replace the weighting idea by an approach promoting the sparsity in the used space. Several experiments are provided to illustrate the efficiency of the proposed methods.

Paper Details

Date Published: 13 May 2016
PDF: 9 pages
J. Electron. Imag. 25(3) 033003 doi: 10.1117/1.JEI.25.3.033003
Published in: Journal of Electronic Imaging Volume 25, Issue 3
Show Author Affiliations
Jérôme Gilles, San Diego State Univ. (United States)
Stanley Osher, Univ. of California, Los Angeles (United States)

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