Image Sequence Prediction Using Polynomial Filters

Prediction of image sequences is widely used inimage processing and transmission schemes such as Differential Pulse Code Modulation (DPCM).Traditional linear prediction employs linear predictors for simplicity. The nonlinear Volterra predictor can be used as an alternative to linear predictor to account for the nonlinear components in the image signals. The proposed quadratic predictor is more robust to noise. Experimental results illustrate that the nonlinear predictor yields improved mean square error performance. The proposed method can be incorporated in new predictive coding schemes for high throughput.