title: Speckle removal using a maximum-likelihood technique with isoline gray-level regularization.
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.
authors.affiliation: Institut Fresnel, Unité Mixte de Recherche 6133, Domaine Universitaire de Saint Jérôme, 13397 Marseille, France. nicolas.bertaux@fresnel.fr
authors.forename: Nicolas
authors.initials: N
authors.lastname: Bertaux
authors.forename: Yann
authors.initials: Y
authors.lastname: Frauel
authors.forename: Philippe
authors.initials: P
authors.lastname: Réfrégier
authors.forename: Bahram
authors.initials: B
authors.lastname: Javidi
mesh_terms: D000465:Algorithms; D006696:Holography / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016013:Likelihood Functions; D018613:Microscopy, Confocal / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013269:Stochastic Processes