Capturing accurate depth map is a tough task in computer vision.Tradi tional method of stereo matching not only has a large computational cost,but also has a bad performance in areas with sparse or repeated texture.Although active range sensor can solve these problems,the depth maps cap tured by the range sensors have low resolution and are susceptible to noise.In t his paper,a super-resolution reconstruction method based on the edge enhancemen t algorithm is presented to improve the quality and resolution of the depth map. Firstly,nonlocal means (NLM) algorithm is applied in the autoregressive (AR) mod el to generate an up-sampled depth map.Afterward,accurate edge detection and edge rectification algorithms are used to optimize the up-sa mpled depth map.The experimental results indicate that the proposed approach,in general,is capable of generatin g the high-resolution depth maps with smaller error and better subjective quality in comparison with the art-of-stat e algorithms.