Denoising based on non-local means for ultrasound images with simultaneous multiple noise distributions
Résumé
In this paper, an extension of the framework proposed by Deledalle
et al.[1] for Non Local Means (NLM) method is proposed. This extension
is a general adaptive method to denoise images containing
multiple noises. It takes into account a segmentation stage that indicates
the noise type of a given pixel in order to select the similarity
measure and suitable parameters to perform the denoising task, considering
a certain patch on the image. For instance, it has been experimentally
observed that fetal 3D ultrasound images are corrupted
by different types of noise, depending on the tissue. Finally, the proposed
method is applied to denoise these images, showing very good
results.