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Speckle removal using a maximum-likelihood technique with isoline gray-level regularization

Nicolas Bertaux, Yann Frauel, Philippe Réfrégier, and Bahram Javidi

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Abstract

We propose a method based on the maximum-likelihood technique for removing speckle patterns that plague coherent images. The proposed method is designed for images whose gray levels vary continuously in space. The image model is based on a lattice of nodes corresponding to vertices of triangles in which the gray level of each pixel is produced by linear interpolation. A constraint on isoline gray levels is introduced to regularize the solution.

© 2004 Optical Society of America

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