Alessandro Foi, Mejdi Trimeche, Vladimir Katkovnik, Karen Egiazarian
2008/9/9
IEEE transactions on image processing
17
10
ページ
1737-1754
IEEE
We present a simple and usable noise model for the raw-data of digital imaging sensors. This signal-dependent noise model, which gives the pointwise standard-deviation of the noise as a function of the expectation of the pixel raw-data output, is composed of a Poissonian part, modeling the photon sensing, and Gaussian part, for the remaining stationary disturbances in the output data. We further explicitly take into account the clipping of the data (over- and under-exposure), faithfully reproducing the nonlinear response of the sensor. We propose an algorithm for the fully automatic estimation of the model parameters given a single noisy image. Experiments with synthetic images and with real raw-data from various sensors prove the practical applicability of the method and the accuracy of the proposed model.
Scholar の論文
A Foi, M Trimeche, V Katkovnik, K Egiazarian - IEEE transactions on image processing, 2008