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This paper focuses on the definition and selection of features to design a reduced description image quality assessment method. For such methods, the main problem is the choice of the features which constitute this reduced description. The best features are the ones which enable to produce the highest correlation between produced quality scores and subjective ones. So we test several feature types and measure their impact for image quality assessment. We show that the use of structural information and the combination of different feature types permit to get high performances.