Estimating Mathematical Model for Additive Signal Dependent Noise in Captured Images under Low Lightness Conditions

ABSTRACT The main aspects that have been the focus into introduced the best mathematical models for signal dependent noise distribution in low lightness binary images(black and white targets).where have been captured several images in different lightness values from (0 Lux to 7 Lux). Then computed the probability distribution for the estimated additive noise separately in each image targets (black target and white target).After that using Table Curve Software to estimate the best matching eq. with noise distributions, where get high agreement Gaussian distribution function with the computed real noise distribution for both image target (black target and white target), and for two camera types..