Implementation of ill-sampled image geometry super-resolution processing technology

摘要

In the actual optical imaging system, in order to increase cell sensitivity or meet the needs of a large field of view, a large size CCD pixel is usually chosen as detection unit. This can not meet the Nyquist sampling theorem, and it belongs to ill-sampling. The geometric resolution of optical diffraction limited system image is directly restricted by the size of CCD pixel. In this paper, a reasonable optical mask is chosen, and this ensures the access to the CCD image information before sampling is lossless. Space spectral filtering technology is used, and appropriate resolution of the image is acquired. The method improves the resolution decline due to ill-sampling. By mathematical and simulation analysis, the effect of geometric super resolution image can be achieved.