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Article Dans Une Revue Lecture Notes in Computer Science Année : 2012

Denoising 3D medical images using a second order variational model and wavelet shrinkage

Résumé

The aim of this paper is to construct a model which decomposes a 3D image into two components: the fi rst one containing the geometrical structure of the image, the second one containing the noise. The proposed method is based on a second order variational model and an undecimated wavelet thresholding operator. The numerical implementation is described, and some experiments for denoising a 3D MRI imageare successfully performed. Future prospects are finally exposed.
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Dates et versions

hal-00682783 , version 1 (26-03-2012)

Identifiants

  • HAL Id : hal-00682783 , version 1

Citer

Minh Phuong Tran, Renaud Péteri, Maïtine Bergounioux. Denoising 3D medical images using a second order variational model and wavelet shrinkage. Lecture Notes in Computer Science, 2012, Image, Analysis and Recognition, 7325, pp.138-145. ⟨hal-00682783⟩
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