Color Gaussian Jet Features For No-Reference Quality Assessment of Multiply-Distorted Images

In this letter we present a novel no-reference image quality assessment (NR-IQA) method for the visual quality prediction of multiply-distorted color images. In the proposed method, to describe the image structure, a number of feature maps are first calculated based on the color Gaussian jet of the image. The popular local binary pattern operator is then applied on the computed feature maps to measure any potential structural degradations caused by multiple distortions. The performance of the proposed method was compared with 14 prominent full-reference IQA methods as well as 11 NR-IQA methods on two multidistortion IQA databases. The results indicate that the proposed method outperforms all the compared methods with a high accuracy at a moderate complexity.