A hybrid image coder: adaptive intra-interframe prediction using motion compensation

A hybrid image predictive coding method is presented. The intraframe predictor is an adaptive finite impulse response (FIR) filter using the well-known least-mean-square (LMS) algorithm to track continuously the spatial local characteristics of the intensity. The interframe predictor is motion-adaptive, using a pel-recursive method estimating the displacement vector. A weight coefficient is adapted continuously in order to favor the prediction mode that performs better between intraframe and only-motion-compensation mode. A crucial problem in predictive coding, particularly with adaptive techniques, is that of sensitivity to transmission errors. A method ensuring the autoadjustment of the decoder in the presence of isolated transmission errors is proposed for the intraframe mode. Neither overhead information nor error-correcting code is needed