A blind image super-resolution algorithm for pure translational motion

In almost all super-resolution methods, the blur operator is assumed to be known. However, in practical situations this operator is not available or available only within a finite extend. In this paper, a super-resolution algorithm is presented in which the assumption of availability of the blur parameters is not necessary. It is a two-dimensional and single-input multiple-output extension of the well-known constant modulus algorithm which is widely used for blind equalization in communication systems. The algorithm consists of determining a set of deconvolution filters to be applied on interpolated low-resolution and low-quality images and is suitable for pure translational motion only and shift-invariant blur. Experimental results have shown that the proposed method can satisfactorily reconstruct the high-resolution image and remove the blur especially for five or less-bit images.