Single Image Super-Resolution Using Multiple Extreme Learning Machine Regressors

Abstract

This paper presents a new technique to solve the single image super resolution reconstruction problem based on multiple extreme learning machine regressors, called here MELM. The MELM employs a feature space of low resolution images, divided in subspaces, and one regressor is trained for each one. In the training task, we employ a color dataset containing… (More)
DOI: 10.1109/SIBGRAPI.2017.59

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