Classification of image degradation using Riesz transform

摘要

This paper presents new method for classification of type of image degradation based on the Riesz transform and BRISQUE no-reference quality measure. Riesz transform has great properties and it can be used in many applications. Some of its benefits are: the ability to construct family of steerable wavelets with arbitrary order and any number of dimensions and it can bring the algorithm of filter banks with perfect reconstruction and also go to dimensions higher than two. Statistical properties of MSCN coefficients used by BRISQUE change in presence of distortion and by quantifying this changes with features calculated by using GGD and AGGD model the class of distortion can be determined. We calculated 18 statistical features out of spatial coefficients defined by BRISQUE measure and 19 parameters out of Riesz coefficients to get 37 features in total and then used features as input in SVM regressor in order to identify the type of image degradation. Then, we compared new method with BRISQUE method by using McNemar's statistical test to show statistical significance of our method.