论文信息 - Recent trends in 2D blind deconvolution for nondestructive evaluation

Recent trends in 2D blind deconvolution for nondestructive evaluation

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.

Uvais Qidwai | Chi Hau Chen | Chi Hau Chen | U. Qidwai

[1] Lihua Xie,et al. Robust H/sub /spl infin// filtering of uncertain 2D discrete systems , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[2] B. Moor,et al. Subspace identification for linear systems , 1996 .

[3] T. Başar. Feedback and Optimal Sensitivity: Model Reference Transformations, Multiplicative Seminorms, and Approximate Inverses , 2001 .

[4] B. B. Newman,et al. Blind Image Restoration , 1987, Aust. Comput. J..

[5] C. H. Chen,et al. Blind image-deconvolution for ultrasonic C-scans , 2001 .

[6] Uvais Qidwai,et al. Blind image restoration for ultrasonic C-scan using constrained 2D-HOS , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[7] U. Shaked,et al. H,-OPTIMAL ESTIMATION: A TUTORIAL , 1992 .

[8] G. Zames. Feedback and optimal sensitivity: Model reference transformations, multiplicative seminorms, and approximate inverses , 1981 .

[9] C-scan enhancement using recursive subspace deconvolution , 2002 .