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Communication Dans Un Congrès Année : 2011

Fast deconvolution of large fluorescence hyperspectral images

Résumé

Fluorescence microscopy is a popular technique for multidimensional analysis of biological specimens. Within this framework, hyperspectral imaging allows to provide additional information on the sample of interest. However, the acquisition process induces various degradations on the image which can prevent quantitative post-processing treatment algorithms from producing accurate results. Fluorescence imaging thus benefits from restoration techniques such as deconvolution. To the best of our knowledge, only a few works specifically focus on the problem of hyperspectral image restoration. We present here a restoration method that is specifically designed to process large multidimensional hyperspectral images.
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Dates et versions

hal-00593546 , version 1 (16-05-2011)

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  • HAL Id : hal-00593546 , version 1

Citer

Simon Henrot, Charles Soussen, David Brie. Fast deconvolution of large fluorescence hyperspectral images. 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2011, Jun 2011, Lisbonne, Portugal. pp.CDROM. ⟨hal-00593546⟩
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