Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data.

Abstract

In this paper, we investigate into the problem of image quality assessment (IQA) and enhancement via machine learning. This issue has long attracted a wide range of attention in computational intelligence and image processing communities, since, for many practical applications, e.g., object detection and recognition, raw images are usually needed to be… (More)
DOI: 10.1109/TNNLS.2017.2649101

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Cite this paper

@article{Gu2017LearningAN, title={Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data.}, author={Ke Gu and Dacheng Tao and Junfei Qiao and Weisi Lin}, journal={IEEE transactions on neural networks and learning systems}, year={2017} }