No abstract

Mutual information can indicate the degradation severity of natural images by capturing images' local structural properties. In this paper, we analyze the dependence between neighboring pixels and propose a no reference image quality assessment method based on mutual information in wavelet domain. The proposed image quality assessment (IQA) method, named MIQA-II, computes mutual information between neighboring pixels in the same subband, across different orientations and scales as features. A quadratic function is used to fit the mutual information values along a distance and the features are then transformed to a final predicted quality score through a two-step framework. MIQA-II is tested on the LIVE IQA database. The experimental results show that MIQA-II has a competitive subjective relevance performance and acceptable time consumption. In addition, MIQA-II still achieves good performance with a small training set.