An image super resolution reconstruction method was used to improve the spatial resolution of the thick pinhole imaging system and to mitigate the limitations of the image spatial resolution of the hardware of the image diagnostic system. The thick pinhole is usually applied into the diagnostics of the high energy neutron radiation image. Due to the impacts among its energy flux, spatial resolution and effective field of view, in dealing with the large area radiation source, the spatial resolution of the thick pinhole neutron image cannot meet the requirements for high precision modeling of the radiation source image. In this paper, the Lucy-Richardson image super resolution reconstruction method was used to simulate the thick pinhole imaging and super resolution image reconstruction. And the spatial resolution of the image could be increased by over three times after the image super resolution reconstruction. Besides, in dealing with the pseudo-noise, plum blossom shape appeared in the image super resolution reconstruction. The analysis of the source of the pseudo-noise was made based on the simulation of the image reconstruction under various conditions according to the characteristics of the thick pinhole image configuration.
 T. P. Costello and W. B. Mikhael, “Efficient Restoration of Space Variant Blurs from Physical Optics by Sectioning with Modified Wiener Filtering,” Digital Signal Processing, Vol. 13, No. 1, 2003, pp. 1-22.
 T. P. Costello and W. B. Mikhael, “Adaptively Fit, PasceVariant Point Spread Function Model for Spherical Lens Optical System,” Proceeding of the 1999 IEEE International Symposium on Circuits and System, Vol. 3, 1999. pp. 255-258.