In order to facilitate the subsequent research of remote sensing images, a high-resolution remote sensing image restoration algorithm based on wavelet transform and iterative shrinkage (IST) has been implemented. Considering that the restoration process in the algorithm needs large memory, memory-mapped file method is used to map the high-resolution remote sensing image into the process address space. Because of the edge jump phenomenon which affects the image quality after splicing image block, a special splicing strategy is used for block restoration. Restoration algorithm is implemented in the VC platform. Through remote sensing image restoration experiments, analysis and evaluation of image restoration, the restoration algorithm is proved to have good recovery performance and efficiency.