Monocentric multiscale computational imaging system was used to solve the problems of high complexity and cost in traditional wide-field high-resolution camera.Image processing was used to correct the plenty of aberrations caused by the simplified optical system,especially the spherical aberration and the lateral chromatic aberration.The aberration characters were analyzed to get the imaging data.The image was processed separately in red,green and blue channels using the system parameters and the aberration manifestation.Firstly,a non-linear image scaling method was used to harmonize the magnifications of different colors so that the lateral chromatic aberration is corrected.Then,the blurred image of different channels was divided to sub-frame sections because of the space-variant point spread function of the optical system.The sub-sections were restored by Lucy-Richardson algorithm so that the monochromatic aberrations is corrected.At last,the images in red,green and blue channels were fused to be the corrected image.The imaging and correction process was simulated and the image quality was assessed by mean squared error,peak signal to noise ratio and structural similarity.The results show that the aberration caused by the computational imaging system can been corrected effectively and the image quality can been improved.