Browsing Waterloo Research by Subject "image quality assessment"
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Stereoscopic image quality assessment by deep convolutional neural network
(Elsevier, 2019-01)In this paper, we propose a no-reference (NR) quality assessment method for stereoscopic images by deep convolutional neural network (DCNN). Inspired by the internal generative mechanism (IGM) in the human brain, which ...