Title :
A new and reliable Poisson noise estimator for radiographic images
Author :
Frosio, I. ; Lucchese, M. ; Borghese, N.A.
Author_Institution :
Univ. of Milano, Milan
Abstract :
Digital images in general, and radiographies in particular, are mainly affected by photon counting noise. In this paper, we provide a method to estimate the gain of the imaging sensor and the variance of the photon counting noise associated to each image grey level. This is useful to multiple scopes, like reverse engineering and denoising.
Keywords :
image denoising; image sensors; photon counting; radiography; stochastic processes; Poisson noise estimator; image denoising; image grey level; imaging sensor; photon counting noise; radiographic images; reverse engineering; Additive noise; Digital images; Gaussian noise; Image sensors; Noise level; Noise measurement; Noise reduction; Optoelectronic and photonic sensors; Radiography; Statistics;
Conference_Titel :
Image Analysis and Processing, 2007. ICIAP 2007. 14th International Conference on
Conference_Location :
Modena
Print_ISBN :
978-0-7695-2877-9
DOI :
10.1109/ICIAP.2007.4362862
