Blind Predicting Similar Quality Map for Image Quality Assessment

CVPR 2018 Da PanPing ShiMing HouZefeng YingSizhe FuYuan Zhang

A key problem in blind image quality assessment (BIQA) is how to effectively model the properties of human visual system in a data-driven manner. In this paper, we propose a simple and efficient BIQA model based on a novel framework which consists of a fully convolutional neural network (FCNN) and a pooling network to solve this problem... (read more)

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