Publicação: DENOISING BASED ON NON LOCAL MEANS FOR ULTRASOUND IMAGES WITH SIMULTANEOUS MULTIPLE NOISE DISTRIBUTIONS
Carregando...
Data
Orientador
Coorientador
Pós-graduação
Curso de graduação
Título da Revista
ISSN da Revista
Título de Volume
Editor
Ieee
Tipo
Trabalho apresentado em evento
Direito de acesso
Acesso aberto
Resumo
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.
Descrição
Palavras-chave
ultrasound image, image denoising, non local means, multiple noises, ultrasound segmentation
Idioma
Inglês
Como citar
2014 Ieee International Conference On Image Processing (icip). New York: Ieee, p. 2699-2703, 2014.
