A variational super-resolution reconstruction method is proposed.First of all

a kind of structure-adaptive anisotropic filter is designed based on the recently reported bilateral filtering.It is not only edge-preserving but also corner-preserving.Then

an anisotropic Markov random field(MRF)model is deduced

which is the improvement of both the classical MRF and bilateral total variation image models.Driven by the anisotropic MRF model

an edge-enhancing super-resolution algorithm is subsequently proposed

simultaneously estimating the high resolution image and the sub-pixel motion among low-resolution frames.The half-quadratic regularization approach and steepest descent are exploited to solve the corresponding minimization functional.Experiment results demonstrate the effectiveness of the proposed approach

both in the visual effect and the peak signal to noise ratio(PSNR)value.