Texture synthesis with Bussgang techniques

A new technique for unsupervised texture synthesis by analysis is presented. It employs a stochastic model of textured fields based on white Gaussian fields passed through a nonlinear system composed of two linear filters connected by a hard limiter. The identification of the texture models is performed using a Bussgang blind deconvolution algorithm and exploiting of the Van Vleck rule for determining the filters parameters. After a theoretical discussion of the method typical examples are provided