A robust face hallucination technique based on adaptive learning method

Abstract

Position-patch based approaches have been proposed for single-image face hallucination. This paper models the face hallucination problem as a coefficient recovery problem with respect to an adaptive training set for improved noise robustness. The image-adaptive training set is constructed by corrupting a local training set of position-patches by adding… (More)
DOI: 10.1007/s11042-016-3953-6

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Cite this paper

@article{U2016ARF, title={A robust face hallucination technique based on adaptive learning method}, author={Rohit U. and V. Abdu Rahiman and Sudhish N. George}, journal={Multimedia Tools and Applications}, year={2016}, volume={76}, pages={16809-16829} }