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Communication Dans Un Congrès Année : 2008

INHOMOGENEOUS DECONVOLUTION IN A BIOLOGICAL IMAGES CONTEXT

Résumé

In this paper we present a new framework for correcting partially out-of-focus biological images. To evaluate depth variation , our method extracts similar objects of interest over the image. The depth is based on a defocus value computation for each salient point. We use an iterative algorithm to convert each defocus value into a Gaussian standard deviation. These measures are then interpolated over the whole image using thin plate spline transform, providing a regularized map. This array provides, for every spatial position, an evaluation of the standard deviation used in the final step for an inhomogeneous deconvolution based on the Richardson-Lucy algorithm. Experiments on real and simulated images validate the accuracy of such a method compare to traditional shift invariant decon-volution approaches.
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Dates et versions

hal-02901998 , version 1 (15-08-2020)

Identifiants

Citer

Arnaud Ogier, T. Dorval, Auguste Genovesio. INHOMOGENEOUS DECONVOLUTION IN A BIOLOGICAL IMAGES CONTEXT. 2008 5th IEEE International Symposium on Biomedical Imaging (ISBI 2008), May 2008, Paris, France. pp.744-747, ⟨10.1109/ISBI.2008.4541103⟩. ⟨hal-02901998⟩
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