Abstract
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.
Highlights
As for the large-area high energy neutron radiation source image diagnostics [1], the radiation source image is commonly obtained based on the thick pinhole imaging principle
The thick pinhole imaging technique could be directly used to provide the neutron source image, and the aperture size of the thick pinhole should be deliberately selected based on a thorough consideration of all of the variables including the size of the radiation source, the spatial resolution and the energy flux, etc
In the radiation image diagnostics, the thick pinhole imaging system is a major bottleneck to improve the spatial resolution of the image diagnostic system
Summary
As for the large-area high energy neutron radiation source image diagnostics [1], the radiation source image is commonly obtained based on the thick pinhole imaging principle. The frequency domain method is used to eliminate the spectrum aliasing in the frequency domain and to improve the spatial resolution This method is applied into the image processing with spaceinvariant point spread function, typically including Winner filter method that is widely used in the penumbral imaging. Most of the studies on the super resolution imaging processing method were made based on the characteristics of the space-invariant point spread function. As for the super resolution image processing with spacevariant point spread function (PSF), such methods are commonly used, including the spatial coordinate transformation method, sectioned restoration algorithm and direct restoration algorithm. In the thick pinhole imaging system, only the direct restoration algorithm could be used for the image processing due to the continuous variation of the space-dependent point spread function (PSF). The image super resolution processing method of the thick pinhole imaging system will be presented, which is characterized in the continuous variation of the space-dependent PSF and relatively big image size
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
