Kenji Kamimura, Hitomi Ito, Norimichi Tsumura, Toshiya Nakaguchi and Yoichi
Miyake
Graduate School of Advanced Integrated Science, Chiba University, Inage-ku, Chiba, Japan
The Journal of the institute of image information and television engineers (Accepted to be published in Vol.63, No.1, pp.101-104, 2009 ).
Abstract
The estimation of noise level of a digital image is important for many
applications such as noise removal, image quality assessment and so on.
From the aspect of practical use in these applications, the estimation
should be achieved from a single image. Ce et al. proposed a single image
noise estimation. In their method, a priori information of noise characteristics
was generated by the computer simulation and used in Bayesian MAP. However,
they did not consider inherent characteristics of each camera and that
depress the estimation accuracy. Therefore in this paper, we take into
account inherent characteristics of camera by using camera specific a priori
in Bayesian MAP. Camera specific a priori is constructed from preliminarily
measurement of camera instead of computer simulation. The experimental
results show the improved accuracy of noise estimation.
Full paper ( to appeare )
[PDF] (in Japanese])