journal article·1991-12

Eddy current image restoration by constrained gradient descent

Bennett R. Groshong, Griff L. Bilbro, Wesley E. Snyder

Publisher page

Abstract

No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.

Source: Not provided · Quality: missing

Research context

OpenAlex topics: Non-Destructive Testing Techniques · Integrated Circuits and Semiconductor Failure Analysis · Welding Techniques and Residual Stresses

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (19)

Show source-provided references
1. L. D. Sabbagh and H. A. Sabbagh, Eddy-current modeling and flaw reconstruction,J. Nondestr. Eval. 7(1/2):95?110 (1988)10.1007/BF00565780 ↗
2. B. A. Auld, S. R. Jefferies, and J. C. Moulder, Eddy-current signal analysis and inversion for semielliptical surface cracks,J. Nondestr. Eval. 7(1/2):79?94 (1988).10.1007/BF00565779 ↗
3. R. E. Beissner, Approximate model of eddy-current probe impedance for surface-breaking flaws,J. Nondestr. Eval. 7(1/2):25?34 (1988).10.1007/BF00565774 ↗
4. R. E. Joynson, R. O. McCary, D. W. Oliver, K. H. Silverstein-Hedengren, and L. L. Thumhart, Eddy current imaging of surface-breaking structures,IEEE Trans. Magnet. 22(5):1260?1262 (September 1986).10.1109/TMAG.1986.1064476 ↗
5. J. Biemond, R. L. Lagendijk, and R. M. Mersereau, Iterative methods for image deblurring,Proc. IEEE 78(5):856?883 (May 1990).10.1109/5.53403 ↗
6. B. R. Hunt, Digital image processing,Proc. IEEE 63(4):693?708 (April 1975).10.1109/PROC.1975.9801 ↗
7. Aggelos K. Katsaggelos, Iterative image restoration algorithms,Opt. Engineer. 28(7):735?748 (July 1989).
8. H. J. Trussell,A priori knowledge in algebraic reconstruction methods, inAdvances in Computer Vision and Image Processing (Chap. 6), Thomas S. Huang, ed. (JAI Press, Greenwich, Connecticut, 1984), p. 265?316.
9. H. C. Andrews and B. R. Hunt,Digital Image Restoration (Prentice-Hall, Englewood Cliffs, New Jersey, 1977).
10. B. R. Hunt, Bayesian methods in nonlinear image restoration,IEEE Trans. Comp. 26(3):219?229 (March 1977).10.1109/TC.1977.1674810 ↗
11. B. R. Groshong, G.L. Bilbro, and W. E. Synder. An eddy current transducer model for image restoration,J Nondestr. Eval. 10(2) (1991).10.1007/BF00568100 ↗
12. N. E. Nahi,Estimation Theory and Applications (John Wiley and Sons, New York, 1969).
13. D. E. Dudgeon and R. M. Mersereau,Multidimensional Digital Signal Processing (Prentice-Hall, Englewood Cliffs, New Jersey, 1984).
14. R. W. Schafer, R. M. Mersereau, and M. A. Richards, Constrained iterative restoration algorithms,Proc. IEEE 69(4):432?450 (April 1981).10.1109/PROC.1981.11987 ↗
15. R. L. Burden and J. D. Faires,Numerical Analysis (Prindle, Weber, and Schmidt, Boston, Massachusetts, 1985).
16. J. E. Dennis, Jr., and R. B. Schnabel,Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Prentice-Hall, Englewood Cliffs, New Jersey, 1983).
17. D. C. Youla, Mathematical theory of image restoration by the method of convex projections, inImage Recovery: Theory and Application (Chap. 2), Henry Stark, ed. (Academic Press, Orlando, Florida, 1987), pp. 29?76.
18. B. R. Hunt, Application of constrained least squares estimation to image restoration by digital computer,IEEE Trans. Comp. 22(9):805?812 (September 1973).10.1109/TC.1973.5009169 ↗
19. P. S. Dwyer and M. S. Macphail, Symbolic matrix derivatives,Ann. Math. Stat. 19:517?534 (1948).10.1214/aoms/1177730148 ↗