Estimation of distortion sensitivity for visual quality prediction using a convolutional neural network
Abstract
null null The PSNR and MSE are the computationally simplest and thus most widely used measures for image quality, although they correlate only poorly with perceived visual quality. More accurate quality models that rely on processing on both the reference and distorted image are potentially difficult to integrate in time-critical communication systems where computational complexity is disadvantageous. This paper derives the concept of distortion...
Paper Details
Title
Estimation of distortion sensitivity for visual quality prediction using a convolutional neural network
Published Date
Aug 1, 2019
Journal
Volume
91
Pages
54 - 65
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