Abstract
In this paper, Shalvi and Weinstein's 1-dimensional (1-D) computationally efficient super-exponential (SE) algorithm for blind de-convolution is extended to 2-dimensional (2-D) SE algorithm. Then a noise-insensitive 2-D blind system identification (BSI) algorithm using the computationally efficient 2-D SE algorithm is proposed for the estimation of 2-D 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.