Aberration correction technology based on chromatic aberration prior constraints

A priori constraint of the chromatic aberration of "the edges of the same object should be in the same position in the three color channels" is proposed by analyzing the correlation between the three channels of the natural image edge in this paper. The priori constraint is mathematically approximated as the relative derivative of each channel. Based on this chromatic aberration prior constraint, a new aberration correction model, namely the image deconvolution model, is established, and a model solving algorithm based on ADMM is given. The experimental results show that this aberration correction technique can improve the peak SNR of image by more than 10 dB, which is much better than the current mainstream algorithms such as BM3D and YUV. Moreover, the visual image performance is greatly enhanced, thus basically meets the common optical system correction requirements for aberrations.