A new cascaded spatio-temporal noise reduction scheme for interlaced video
Klaus Jostschulte, A. Amer · 2002
The quality of a television system is significantly determined by the amount of distortions within the displayed image. One of these distortions is white Gaussian noise. So a spatio-temporal algorithm for reducing noise in interlaced video is presented in this paper. It consists of a detail preserving spatial algorithm which uses a set of contour oriented lowpass-filters that are controlled via corresponding highpass masks. The influence of the number of different masks as well as of the coefficients are analyzed. The temporal scheme works in two subbands and makes use of some perception properties of the human eye. The high efficiency of this cascaded system is proved by simulations.