No-reference image quality assessment using dual-tree complex wavelet transform

As discrete wavelet transform (DWT) is short in shift invariance and directionality, we proposed a no-reference image quality assessment (IQA) method based on dual-tree complex wavelet transform (DTCWT). In this method, an image is decomposed by DTCWT firstly. Then the energy value of each sub-band is calculated. Finally a support vector regressor (SVR) is adopted to predict image quality score. Experimental results show that our method is consistent well with human perception and has a low computational complexity.