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

Author

Chi, Chong-Yung ; Chen, Chii-Horng

Author_Institution

Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

420

Lastpage

429

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

Keywords

identification; image texture; simulation; 1D computationally efficient super-exponential algorithm; 2D linear shift-invariant system estimation; blind deconvolution; noise-insensitive 2D blind system identification algorithm; simulation; texture image synthesis; Amplitude estimation; Finite impulse response filter; Higher order statistics; Image generation; Large scale integration; Phase estimation; Signal processing algorithms; Signal synthesis; Signal to noise ratio; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Systems, 1999. SiPS 99. 1999 IEEE Workshop on

Conference_Location

Taipei

ISSN

1520-6130

Print_ISBN

0-7803-5650-0

Type

conf

DOI

10.1109/SIPS.1999.822347

Filename

822347