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Abstract: Image superresolution refers to image processing algorithms which produce high quality, high-resolution (HR) images from a set of low quality, low-resolution (LR) images. In many visual applications, both civilian and military, the imaging sensors have poor resolution outputs. When resolution can not be improved by replacing sensors, either because of cost or hardware physical limits, we can resort to superresolution algorithms. Even when superior equipment is available, superresolution... (Update)
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BibTeX entry: (Update)
N.X. Nguyen. Numerical algorithms for image superresolution. PhD thesis, Stanford University, Stanford, CA, 2000. http://citeseer.ist.psu.edu/nguyen00numerical.html More
@misc{ nguyen00numerical,
author = "N. Nguyen",
title = "Numerical algorithms for image superresolution",
text = "N.X. Nguyen. Numerical algorithms for image superresolution. PhD thesis,
Stanford University, Stanford, CA, 2000.",
year = "2000",
url = "citeseer.ist.psu.edu/nguyen00numerical.html" }
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[Article contains additional citations not shown here]
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