Estimation of noise parameters for captured image
Rutuja V. Savant, Debasish Pradhan · 2016
This article deals with the analysis of noise parameter estimation for captured image under motion blurring and illumination flickering. A captured image is first analysed for determination of motion blur parameters i.e., direction of blur and pixel displacement length (PDL) and it is carried out using edge information of the image. Subsequently a blur-free image is processed for estimation of illumination flicker noise parameters and then for the estimation of camera parameters-camera gain, mean and variance of Gaussian white noise and illumination flickering co-efficient.