Denoising based on non local means for ultrasound images with simultaneous multiple noise distributions

Denis H. P. Salvadeo, Isabelle Bloch, Florence Tupin, Nelson D. A. Mascarenhas, Alexandre L. M. Levada, Charles-Alban Deledalle, Sonia Dahdouh
2014 2014 IEEE International Conference on Image Processing (ICIP)  
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
more » ... lly 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. Index Termsultrasound image, image denoising, non local means, multiple noises, ultrasound segmentation
doi:10.1109/icip.2014.7025546 dblp:conf/icip/SalvadeoBTMLDD14 fatcat:fxjc5dgpbbe6lafgbctk3rzpbq