This paper studies the application of preconditioned conjugate gradient methods in high resolution image reconstruction problems. We consider reconstructing high resolution images from multiple undersampled, shifted, degraded frames with subpixel displacement errors. The resulting blurring matrices
Discrete cosine transform based regularized high-resolution image reconstruction algorithm
β Scribed by Rhee, Seunghyeon; Kang, Moon Gi
- Book ID
- 115451636
- Publisher
- The International Society for Optical Engineering
- Year
- 1999
- Tongue
- English
- Weight
- 837 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0091-3286
- DOI
- 10.1117/1.602177
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High-resolution image reconstruction is an important problem in image processing. In general, the blurring matrices are ill-conditioned, and it is necessary to compute a regularized solution. Moreover, error exists not only in the blurred image but also the blurring matrix, thus the total least squa
The nonlinear model-fitting scheme is used for high-resolution radar imaging under the assumption that the objects consist of point scatters; genetic algorithms are then applied for the minimization of the fitting error. Numerical results of the method are compared with those of the Powell method to