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This paper investigates how to blindly evaluate the visual quality of an image by learning rules from linguistic descriptions. Extensive psychological evidence shows that humans prefer to conduct evaluations qualitatively rather than numerically. The qualitative evaluations are then converted into the numerical scores to fairly benchmark objective image quality assessment (IQA) metrics. Recently,...
Visual attention and human language is a natural way to observe and describe the world in our daily life. For image quality assessment (IQA), psychological evidence shows that humans prefer qualitative descriptions for image quality rather than numerical ones. However, the qualitative evaluation of image quality has to be converted into numerical scores in order to train the state-of-the-art learning...
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