To estimate a range of image distortions

a novel no-reference image quality assessment method is proposed based on wavelet multi-scale transformation.For natural scene statistics (NSS) model

the sub-band energy of wavelet transformation has a linear distribution with scale index.According to this principle

the energy distribution of ideal image could be predicted from high-scale sub-band energy

which was not badly affected by distortion.Meanwhile

an effective method for identifying and compensating for an inappropriate distortion was presented.Finally

the quality metric was constructed by quantifying the difference between predicted energy and real energy in degradation image.Experimental results showed that the new method was consistent with subjective assessment and outperformed the other methods.