Lowpass temporal filter using motion adaptive spatial filtering and its systolic realization

A motion adaptive spatial filtering technique is discussed for a temporal filtering of video signals, and its systolic realization method is investigated. The proposed filter is based on the basic idea that a temporal filter can be implemented by means of a space-variant spatial filter, on the assumption that the motion of each pixel is known. In general, a sequence of images containing moving objects are known to have inherently temporal aliasing components. The proposed method has an important characteristic that the aliasing components can be reduced. In spite of the space-variant characteristics of the filter, a systolic architecture suitable for its hardware implementation was devised, where a processing element was composed of three delay elements, one multiplier, one adder, and one lookup table