Abstract

We show how a deconvolution can be performed from the significant structures of an image in the wavelet space. These significant structures are computed from the wavelet coefficients of the data. The wavelet-transform algorithm that is used is a new one based on the fast Fourier transform. This approach is first studied for interferometric images, simulations are done, and then the method is generalized to any kind of data.

© 1994 Optical Society of America

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