Noise-insensitive Approaches to Two-dimensional System Identification and Texture Image Synthesis
نویسندگان
چکیده
In this paper, Shalvi and Weinstein's 1-dimensional (1-D) computationally efficient super-exponential (SE) algorithm for blind deconvolution is extended to 2-dimensional (2-D) SE algorithm. Then a noiseinsensitive 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.
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