At present, the resolution of the image captured by the camera is much higher than that of the screen. A large number of moires are appeared after the image is scaled. Aiming at the phenomena of moire interference, large memory, and short focal length distortion, this study puts forward a kind of image reconstruction algorithm for the first time. First, the adaptive high-frequency linear filtering algorithm is used to separate the high frequency signal from the network. Then the high-frequency information of the image is extracted by the fast Greedy algorithm and Bernoulli random walk. According to the prior knowledge of the structure of the liquid crystal point, a complete liquid crystal layout model is constructed and mathematically fitted to separate the information of the screen and the reticulation of the liquid crystal point. Finally, the reconstruction of the image matrix space and the interpolation and restoration of the color channel are carried out. The reconstruction algorithm is consistent with the original image in matrix space. The histogram similarity of the experimental sample and the original image is more than 80%, which is much higher than that of the screen image and the original image 38.7%. The algorithm retains the image information, eliminates the high-frequency mesh noise, restores the original matrix space, and makes the image more in line with the actual needs.