New estimation method of the two-dimensional autoregressive model. Application to image processing.

BRITOS, GRISEL MARIBEL; OJEDA, SILVIA MARÍA

Valencia

Congreso; International Congress on Industrial and Applied Mathematics; 2019

In this work, we present an estimator of the parameters of anAR-2D model. It uses an auxiliary model (BIP-AR) that limits thepropagation of noise in an AR process. In addition, we analyzed the behavior of these new estimator (BMM 2D) and four well known estimators for the case of processes contaminated by Gaussian noise. We also show an application to the image processing obtaining favorable results for our estimator.