A variational method for dejittering large fluorescence line scanner images

Abstract : We propose a variational method dedicated to jitter correction of large fluorescence scanner images. Our method consists in estimating a dense displacement field representing the jitter. An energy functional composed of a realignment criterion and a differential-based regularizer is especially designed. We adopt the half-quadratic splitting approach to decouple convex and non-convex terms in such a way that the original minimization problem can be solved by alternating two optimization steps – one using a proximal algorithm for the convex part and the other using an exhaustive search for the non-convex part. Experiment results on artificial and large real fluorescence images demonstrate that our method is not only capable to handle large displacements but is also efficient in terms of sub-pixel precision without modifying image intensities when comparing with image regularization-based approaches.
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Pré-publication, Document de travail
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Contributeur : Charles Kervrann <>
Soumis le : jeudi 24 août 2017 - 23:17:12
Dernière modification le : mardi 17 avril 2018 - 09:05:22


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  • HAL Id : hal-01577139, version 1



Hoaï-Nam Nguyen, Vincent Paveau, Cyril Cauchois, Charles Kervrann. A variational method for dejittering large fluorescence line scanner images . 2017. 〈hal-01577139〉



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