No- reference Image Quality Assessment Algorithm Based on Natural Scene Statistic
Gao Lif · Video Engineering · 2014
To estimate a range of image distortions,a no-reference image quality assessment method is proposed based on the collection of statistical features from a space domain natural scene statistic(NSS) model.The proposed method makes an evaluation to the testing image,making use of measurable deviations from statistical regularities observed in natural images.Compared with existing no-reference image quality assessment methods,the proposed method does not require the training process between training images and human opinion scores,nor the prior knowledge of the type of distortions.Thus,it is a more significant universal no-reference image quality assessment algorithm.Simultaneously,the proposed method incorporates a salient region detection process,taking account the effect of the region of interest.The experimental results show that the proposed method is consistent with human subjective perception.