No-reference aerial image quality assessment based on natural scene statisticsand color correlation blur metric

Study in UAV aerial image quality assessment algorithm. Aiming at the characteristics of lack of reference images, have large amount of data and degradation type is mainly about blurry, we put forward a rapid and effective no-reference aerial image quality assessment algorithm based on the natural scene statistics. This algorithm reduces the computational complexity of traditional algorithms based on natural scene statistics by extracting the region of interest of human eye, utilizes the color information of aerial images effectively, and enhances the sensitivity of the algorithm to blurry by calculating color correlation blur metric. Experimental results show that the algorithm as a significant advantage in terms of computational complexity, and is more sensitive to the blurred image compared with the traditional evaluation algorithm. The proposed algorithm is more suitable for the UAV aerial image quality assessment.