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
(030.0030) Coherence and statistical optics : Coherence and statistical optics
(030.4280) Coherence and statistical optics : Noise in imaging systems
(100.0100) Image processing : Image processing
(100.3010) Image processing : Image reconstruction techniques
Nicolas Bertaux, Yann Frauel, Philippe Réfrégier, and Bahram Javidi, "Speckle removal using a maximum-likelihood technique with isoline gray-level regularization," J. Opt. Soc. Am. A 21, 2283-2291 (2004)