Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images

Author:

Mateos Javier,Vega Miguel,Molina Rafael,Katsaggelos Aggelos K.

Publisher

Springer Berlin Heidelberg

Reference17 articles.

1. Aizawa, K., Komatsu, T., Saito, T.: A scheme for acquiring very high resolution images using multiple cameras. In: IEEE Conference on Audio, Speech and Signal Proc., vol. 3, pp. 289–292 (1992)

2. Baker, S., Kanade, T.: Limits on super-resolution and how to break them. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(9) (2002)

3. Borman, S., Stevenson, R.: Spatial resolution enhancement of low-resolution image sequences. A comprehensive review with directions for future research. Technical report, Laboratory for Image and Signal Analysis, University of Notre Dame (1998)

4. Bose, N.K., Boo, K.J.: High-resolution image reconstruction with multisensors. Int. Journ. Imaging Systems and Technology 9, 141–163 (1998)

5. Bose, N.K., Lertrattanapanich, S., Koo, J.: Advances in superresolution using L-curve. In: IEEE International Symposium on Circuits and Systems, vol. 2, pp. 433–436 (2001)

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