Parameter identification for mixed blur image with motion blur and defocus blur

For the problem of identifying motion blur length, motion blur angle and defocus blur radius in mixed blur image, a method for parameter identification for mixed blur image with motion blur and defocus blur was proposed. Firstly, the blur image was processed with Fourier transformation, then Radon transformation was adopted to identify motion blur angle. Secondly, filter was adopted for the spectrum, the amplitudes in the central region of the spectrum were summed, and the sum was inputted into the BP neural network. The amplitudes were summed up vertically when estimating motion blur length and were summed up circularly when estimating defocus blur length. The simulation results show that the error of parameter identifications of noise free mixed blur images is smaller than 6%.