In order to overcome the weak robustness，the weak reservation of edges

and the high sensitivity to noise in some super-resolution methods

we propose a nonlocal-means super-resolution reconstruction with enhanced edges based on the MAP frame. This method adopts the nonlocal-means model

and computes the modulus of the model together with the edges of the image. The proposed method mends effectively super-resolution reconstruction based on the bilateral total variance (BTV) model and based on the Markov random field (MRF) model. Our method is more robust and it is more able to reserve edges and to remove noise. Experimental results show that the proposed method is robust

and can reserves the edges well under low signal to noise ratio

getting a better reconstruction result.