In recent years,high-resolution digital displays have been widely used in airborne cockpit.Limited by the performance of the image sensor in a specific band and the video transmission link,the resolution of the airborne sensor image arriving at the display is often lower than that of the display.When these images are directly displayed,the effective display area is small,which is inconvenient for observation,and simply using the interpolation algorithm for image magnification will cause image blurring.Super Resolution (SR) reconstruction technology can predict image details while magnifying the image at the same time,which effectively improves image resolution.Currently,the CNN-based SR algorithm has become the most advanced SR algorithm owing to its excellent reconstruction effects (PSNR & SSIM).The existing SR algorithm has the problems of complex network structure,a large amount of parameters and huge computational resource consumption,which is inapplicable for real-time implementation in airborne embedded environment.To solve the above problems,a lightweight super-resolution algorithm named C-EDSR is proposed,which greatly reduces the amount of computation without harming reconstruction effects.The new algorithm provides a basis for further real-time implementation of SR algorithm in airborne embedded environment.The experimental results show that the proposed C-EDSR reduces 61.1% computation while decreasing PSNR by 0.026 dB and SSIM by 0.000 176 on average compared with EDSR.