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Face Super Resolution(FSR) is to infer High Resolution(HR) facial images from given Low Resolution(LR) ones with the assistance of LR and HR training pairs. Among existing methods, local patch based methods are superior in visual and objective quality than global based methods. These local patch based methods are based on the consistency assumption that the neighbors in HR/LR space form similar local...
This paper describes a user-assisted application to perform adaptive thresholding (i.e. binarization) on degraded handwritten documents. While existing adaptive thresholding techniques purport to be automatic, they in fact require the user to perform non-intuitive parameter tuning to obtain satisfactory results. In our work, we recast the problem into one where the user needs only to coarsely markup...
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