Efficient generalized cross-validation with applications to parametric image restoration and resolution enhancement

IEEE Transactions on Image Processing

Volumn 10, Issue 9, 2001, Pages 1299-1308

  Nguyen, Nhat ^b   Milanfar, Peyman ^a,c   Golub, Gene ^b  

^a IEEE   (United States)

^b Stanford University   (United States)

^c University of California Santa Cruz   (United States)

Author keywords

Blind restoration; Blur identification; Generalized cross validation; Quadrature rules; Superresolution

Indexed keywords

BLIND RESTORATION; BLUR IDENTIFICATION; GENERALIZED CROSS VALIDATION METHOD; SUPERRESOLUTION;

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; IMAGE QUALITY; IMAGE RECONSTRUCTION; INVERSE PROBLEMS; OPTICAL TRANSFER FUNCTION;

IMAGE ENHANCEMENT;

EID: 0035441819     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/83.941854     Document Type: Article

References (35)

1. Iterative blind deconvolution method and its applications
2. Some large-scale matrix computation problems
3. Iterative methods for image deblurring
4. Asymmetric iterative blind deconvolution of multiframe images
5. A survey of image registration techniques
6. A comparative study between parametric blur estimation methods
7. Super-resolution reconstruction of images
8. Some modified matrix eigenvalue problem
9. Generalized cross-validation as a method for choosing a good ridge parameter
10. Matrices, moments, and quadrature
11. Estimates in quadratic formulas
12. Generalized cross-validation for large-scale problems
13. Calculation of Gauss quadrature rules
14. Fusion of images on affine sampling grids
15. Joint MAP registration and high-resolution image estimation using a sequence of undersampled images
16. Perfect blind restoration of images blurred by multiple filters: Theory and efficient algorithms
17. Super-resolution of images: Algorithms, principles, and performance
18. A stochastic estimator of the trace of the influence matrix for laplacian smoothing splines
19. Blind image deconvolution
20. Automatic multidimensional deconvolution
21. Blind deconvolution by simulated annealing
22. Numerical techniques for image superresolution
23. A fast wavelet interpolation-restoration method for superresolution
24. A computationally efficient superresolution image reconstruction algorithm
25. Blind superresolving image recovery from blur-invariant edges
26. A recursive algorithm for maximum likelihood-based identification of blur from multiple observations
27. Blur identification by the method of generalized cross-validation
28. Extraction of high-resolution frames from video sequences
29. Multiframe blind deconvolution of astronomical images
30. Data-driven multi-channel superresolution with application to video sequences
31. Iterative multiframe superresolution algorithms for atmospheric-turbulence-degraded imagery
32. Kalman filtering in two dimensions: Further results