An algorithm is proposed to restore the images

simultaneously degraded by multiple blurred during aerial imaging. Based on the analysis of the physical model of multiple blurred

the multiple blurred can be restored by restoring the every sub-blurred step by step. To reduce the accumulating of calculation error during the restoration for multiple blurred images

the point spread functions (PSFs) of each space-invariant blur in the multiple blurred are combined by convolving all the linear PSFs together. For that

the multiple blurred made up of the space-invariant blurs can be eliminated by a deconvolution restoration. Through analysis the error noise arising during the image restoration

the Wiener filter is applied to suppress the error noise for the multiple blurred consist of space-variant blur. What’s more

the application of Wiener filter can increase the PSNR of the restored image by 7.76dB. The experiment results show that the PSNR of the image

restored by the proposed algorithm based on the PSFs combination

can reach 28.09 which ensures the restoration quality can be acceptable.