In this project, we attempt to solve the super-resolution problem with a MAP approach, following Hardie, et. al [1]. We construct a model of the low-resolution images and attempt to learn the high-resolution images. Effects of model parameters are discussed

GradientDescent.m
LinearKernel.m
SREquations.m

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