Title :
Recent trends in 2D blind deconvolution for nondestructive evaluation
Author :
Chen, Chi-Hau ; Qidwai, Uvais
Author_Institution :
Univ. of Massachusetts, Dartmouth, MA, USA
Abstract :
Ultrasonic imaging for nondestructive evaluation (NDE) applications is an important process for industrial applications. Such images are constrained by the sensor positions and indirect image formation. In this paper, some recent techniques in the areas of ultrasonic image enhancement and restoration, developed by the authors, are presented. Three new approaches have been presented to enhance the ultrasonic images with minimum or no information of the distortion function or the imaging system characteristics.
Keywords :
H∞ optimisation; Riccati equations; acoustic convolution; blind source separation; deconvolution; image enhancement; image restoration; state-space methods; ultrasonic imaging; ultrasonic materials testing; 2D H∞-based algorithm; 2D blind deconvolution; discrete Riccati equations; distortion function; indirect image formation; industrial applications; nondestructive evaluation; sensor positions; state space model; subspace identification; ultrasonic NDE; ultrasonic image enhancement; ultrasonic image restoration; ultrasonic imaging; Deconvolution; Equations; Filtering; Image enhancement; Image restoration; Image sensors; Sensor phenomena and characterization; State estimation; Symmetric matrices; Ultrasonic imaging;
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
Print_ISBN :
0-7695-1695-X
DOI :
10.1109/ICPR.2002.1048472
