Fast and robust multiframe super resolution

Super-resolution reconstruction produces one or a set of high-resolution images from a set of low-resolution images. In the last two decades, a variety of super-resolution methods have been proposed. These methods are usually very sensitive to their assumed model of data and noise, which limits thei...

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Bibliographic Details
Published in:	IEEE transactions on image processing Vol. 13; no. 10; pp. 1327 - 1344
Main Authors:	Farsiu, S., Robinson, M.D., Elad, M., Milanfar, P.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01-10-2004 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Applied sciences Artificial intelligence Cameras Computational modeling Computer Graphics Computer science; control theory; systems Computer Simulation Exact sciences and technology Frequency domain analysis Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Image reconstruction Image resolution Information Storage and Retrieval - methods Information, signal and communications theory Layout Lenses Mathematical models Motion estimation Noise Noise robustness Norms Numerical Analysis, Computer-Assisted Optimization Pattern Recognition, Automated Pattern recognition. Digital image processing. Computational geometry Regularization Reproducibility of Results Sensitivity and Specificity Signal processing Signal Processing, Computer-Assisted Spatial resolution Subtraction Technique Telecommunications and information theory Utilities Filtering Motion estimation Noise reduction Superresolution L1 approximation regularization multiframe super resolution Image restoration enhancement Image reconstruction Regularization method Bilateral filter robust estimation total variation (TV) Image enhancement deblurring
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