In this paper, a real-time image inpainting system using PatchMatch based two-generator adversarial network(PatchMatch-GAN), is proposed to improve the clarity of generated images. The first generator is committed to continuous semantic textures, and the second one focuses on the image sharpness. Parallel-dilated convolution is used to enlarge the receptive field of filters. The edge loss has also been proposed as a part of the loss function to emphasize the role of the shape of the object. Compared with GLGAN and CAGAN，our system can achieve better image inpainting results while meeting the requirements of real-time processing speed.