Identification of One-dimensional Directional Blur Amount for Sharpening of Blurred Concrete Structure Images Acquired by UAV

In order to perform reliable maintenance of infrastructures such as bridges, it is desirable to utilize robotic technologies such as UAV to support engineers. In this research, we aim to propose a method to identify one-dimensional directional blur amount for sharpening blurred images acquired by UAV. In order to sharpen one-dimensional blurred images of concrete structures, we focused on simple and uniform features such as sandy patterns peculiar to concrete surfaces and used a cepstrum of partial images of such features to obtain at least one candidate image of the amount of blur. In this paper, we apply our proposed "MD method" to blurred images of concrete bridges actually captured by UAV and to sharpen the degraded image with PSF-MB corresponding to the identified amount of blur.