Shearlet-based reduced reference image quality assessment
Sebastian Bosse, Qiaobo Chen, Mischa Siekmann, Wojciech Samek, Thomas Wiegand · 2016
This paper proposes a reduced reference image quality assessment method using only a low number of features. It involves a shearlet decomposition, directional pooling of the obtained coefficient and extracts the scalewise statistical location parameter as a feature. The proposed method is tested and compared to similar approaches on the LIVE image database. On this database it outperforms the compared methods on five of seven distortion types and on the full testset with a linear correlation of = 0.89.