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36

ICPR
2004
IEEE

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Resolution Enhancement by AdaBoost

15 years 2 days ago

Resolution Enhancement by AdaBoost

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This paper proposes a learning scheme based still image super-resolution reconstruction algorithm. Superresolution reconstruction is proposed as a binary classification problem and can be solved by conditional class probability estimation. Assuming the probability takes the form of additive logistic regression function, AdaBoost algorithm is used to predict the probability. Experiments on face images validate the algorithm.

Bhaskar D. Rao, Junwen Wu, Mohan M. Trivedi

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Adaboost Algorithm | Computer Vision | Conditional Class Probability | ICPR 2004 | Super-resolution Reconstruction Algorithm |

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Added	09 Nov 2009
Updated	09 Nov 2009
Type	Conference
Year	2004
Where	ICPR
Authors	Bhaskar D. Rao, Junwen Wu, Mohan M. Trivedi

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