No Reference Quality Assessment for Multiply-Distorted Images Based on an Improved Bag-of-Words Model

Multiple distortion assessment is a big challenge in image quality assessment (IQA). In this letter, a no reference IQA model for multiply-distorted images is proposed. The features, which are sensitive to each distortion type even in the presence of other distortions, are first selected from three...

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Veröffentlicht in:	IEEE signal processing letters 2015-10, Vol.22 (10), p.1811-1815
Hauptverfasser:	Lu, Yanan, Xie, Fengying, Liu, Tongliang, Jiang, Zhiguo, Tao, Dacheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Correlation Correlation coefficient Feature encoding Feature extraction feature selection Image coding Image quality image quality assessment multiple distortions no reference Prediction algorithms Signal processing algorithms
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