Predictive coding of images using an adaptive intra-frame predictor and motion compensation

Abstract

In this article we present an image predictive coding method using both intra- and inter-frame predictors. The intra-frame predictor is an adaptive FIR filter using the well-known LMS algorithm to track continuously spatial local characteristics of the intensity. The inter-frame predictor is motion-adaptive using a pel-recursive method estimating the displacement vector. Weight coefficients are continuously adapted in order to favor the prediction mode which performs better between intra-frame and motion compensation mode. It is a backwards adaptation which does not necessitate the transmission of an overhead information. Neither the weight coefficients nor displacement vectors are transmitted. Apart from the quantized prediction error, it may be necessary to transmit the detection of a discontinuity of the displacement vector. For the examined image sequence a significant improvement is obtained in comparison with only adaptive intra-frame or only motion compensation mode. We give and discuss the extension of a known adaptive quantizer for 2D signals. A crucial problem in predictive coding, particularly with adaptive techniques, is the sensitivity to transmission errors. A method ensuring the self-adjustment of the decoder in the presence of transmission errors, which do not affect the pixel synchronization, is proposed for the intra-frame mode. Neither overhead information nor error-correcting codes are needed.