Noise-insensitive approaches to two-dimensional system identification and texture image synthesis

Abstract

Shalvi and Weillstein's (1993) 1D computationally efficient super-exponential (SE) algorithm for blind deconvolution is extended to a 2D SE algorithm. Then a noise-insensitive 2D blind system identification (BSI) algorithm using the computationally efficient 2D SE algorithm is proposed for the estimation of 2D linear shift-invariant (LSI) systems. Moreover, a texture synthesis method (TSM) using the proposed BSI algorithm is proposed for texture image synthesis. Finally, some simulation and experimental results are provided to support the efficacy of the proposed BSI algorithm and that of the proposed TSM, respectively.