Recursive high-resolution reconstruction of blurred multiframe images

An approach to high-resolution image reconstruction from blurred noisy multiframes is presented. A recursive least square estimation with regularization method is applied for high resolution estimation. This approach provides a unified algorithm for deblurring, noise removal, and high resolution rec...

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Bibliographic Details
Published in[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing pp. 2977 - 2980 vol.4
Main Authors Kim, S.P., Su, W.-Y.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1991
Subjects
Application software
Computer science
Computer simulation
Equations
Frequency
Image reconstruction
Image resolution
Image restoration
Image sampling
Least squares approximation
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Summary:An approach to high-resolution image reconstruction from blurred noisy multiframes is presented. A recursive least square estimation with regularization method is applied for high resolution estimation. This approach provides a unified algorithm for deblurring, noise removal, and high resolution reconstruction. Due to the recursive nature of the algorithm, computations are minimized. The algorithm is highly parallel since reconstruction is done independently for each pel in the transform domain. Computer simulations demonstrate the performance of the algorithm.< >
ISBN:9780780300033
0780300033
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.1991.151028