关键词: 图像质量检测, 人类视觉感知, 再模糊理论, 无人机航拍图像, 边缘差异, 模糊检测

Abstract: When a UAV is in the aerial photography mission, it is easily to be affected by some factors such as fuselage shaking, terrain environment and etc., which will lead to blurred images, and will greatly influence the results of subsequent image information extraction. Inorder to solve this problem, the automatic detection method of aerial image quality based on re-blur theory is proposed. Firstly, the original image which is preprocessed by compression, graying and etc. attaches a certain degree of Gaussian blur to get re-blur image. Then, the edge images are extracted by Laplace operator respectively from the two images, and the edge difference image of these two edge images are obtained. Standard deviation of the edge difference image is calculated to compare with the threshold value which is used to divide sharp and blur image, deriving from experience, determining whether the image is a blurred image. Finally, the experiment is carried out on the synthetic image and the actual image. Experimental results show that the algorithm has a high detection rate of blur image, which is superior to other image quality detection algorithms, and the speed of image detection is very fast.

Key words: image quality detection, human visual perception, re-blurred theory, UAV aerial image, edge difference, blur detection