Bayesian denoising in digital radiography: a comparison in the dental field.
Comput Med Imaging Graph
; 37(1): 28-39, 2013 Jan.
Article
em En
| MEDLINE
| ID: mdl-23195994
ABSTRACT
We compared two Bayesian denoising algorithms for digital radiographs, based on Total Variation regularization and wavelet decomposition. The comparison was performed on simulated radiographs with different photon counts and frequency content and on real dental radiographs. Four different quality indices were considered to quantify the quality of the filtered radiographs. The experimental results suggested that Total Variation is more suited to preserve fine anatomical details, whereas wavelets produce images of higher quality at global scale; they also highlighted the need for more reliable image quality indices.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Interpretação de Imagem Radiográfica Assistida por Computador
/
Teorema de Bayes
/
Radiografia Dentária Digital
Idioma:
En
Ano de publicação:
2013
Tipo de documento:
Article