A super-resolution algorithm via tiny recurrent convolutional neural network was proposed on the basis of the principles of image degradation.The proposed model has very few parameters when compared to super-resolution algorithms based on naive statistical learning.Model parameters of the proposed model have their specific physical meanings because corresponding image degradation model is introduced and regularizes the proposed model implicitly.This paper also provides an inner view of the related parameter...
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