High-resolution image reconstruction from a low-resolution image sequence in the presence of time-varying motion blur
We address the problem of reconstruction of a high-resolution image from a sequence of low-resolution images containing arbitrary relative motion, excluding occlusion effects. We develop a formulation that simultaneously takes into account blurring due to relative sensor-object motion, sensor integr...
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| Published in | Image Processing, 1994 International Conference on Vol. 1; pp. 343 - 347 vol.1 |
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| Main Authors | , , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE Comput. Soc. Press
1994
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| Subjects | |
| Online Access | Get full text |
| ISBN | 0818669527 9780818669521 |
| DOI | 10.1109/ICIP.1994.413332 |
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| Summary: | We address the problem of reconstruction of a high-resolution image from a sequence of low-resolution images containing arbitrary relative motion, excluding occlusion effects. We develop a formulation that simultaneously takes into account blurring due to relative sensor-object motion, sensor integration, and additive noise. We propose a POCS-based algorithm for performing the high-resolution reconstruction, and provide experimental results.< > |
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| ISBN: | 0818669527 9780818669521 |
| DOI: | 10.1109/ICIP.1994.413332 |