In many fields of signal and image processing, blind deconvolution is of interest when distortions of measurements caused by physical influences or deficiencies in the measurement device cannot be adequately modelled. The topic has been subject to scientific and mathematical research for the past four decades. Although a non-linear ill-posed operator equation is involved, not much is known in the context of the theory of inverse problems. The goal of this thesis is to gain more insight into blind deconvolution by applying the theory of inverse problems.