PROCESSING MOVING PCTUIRE BY USING ADAPTIVE KALMAN FILTER
There are several methods to deal with the problem of redundancy reduction or compression of information for encoding a moving picture (eg. conference television or picture-phone). In this paper auother method is presented. For a moving picture the information that has to be transmitted is the difference of the successive frames. Because of the poor resolution of human eye in the moving part of the picture, one can transmit an approximation of the difference signal. A Kalman filter is used to obtain a straight line approximation to the difference signal. Since the human eye is less sensitive to error in the intensity at higher value of this intensity, the Kalman filter is designed so as to emphasise intensity errors at lower values of the intensity. Therefore more tolerable distortion can be intruduced into the encoding procedure According to rate-distortion theory more bits can be saved. In order to encode the straight line approximation of the difference signal it is sufficient to encode its breakpoints. Consequently the information one has to sand is the positions and the amplitudes of the straight line approximation. By considering the dependace of the position and the amplitude of a breakpoint on a line with respect to those on the adjacent lines, more redundacies can be removed. Computer simulation has confirmed that straighe line approximation, using weighting factor that is a function of the signal intensity, can provide a different way to encode moveing pictures. Several sets of moveing pictures have been processed. As an example, to encode a moveing hand one needs about 0.3—0.4 bits per pel.