The CERTH image blur dataset consists of 2450 digital images, 1850 out of which are photographs captured by various camera models in different shooting conditions that have not been altered in any way following their capture. The remaining 600 are artificially-blurred images. For their creation 60 undistorted images were randomly selected and then several types of Gaussian, motion and circular averaging filters were applied to them. E. Mavridaki, V. Mezaris, "No-Reference blur assessment in natural images using Fourier transform and spatial pyramids", Proc. IEEE International Conference on Image Processing (ICIP 2014), Paris, France, October 2014.