Image Restoration Of The Neutron Pinhole Imaging By Resolving Degraded Matrix

The image degradation, such as noise and blurring, is unavoidable. It may occur with the image formation process, image transfer, image showing, etc. So image restoration is necessary and important. Image restoration is aim at doing best to restore the original image from the degraded image. Image restoration is widely used in astronomy, remote sensing, medical image, etc. For neutron pinhole imaging, the main reasons of degradation are parameter of model's, pinhole's parameter and stuff, the angle of eradiating neutron.In this paper, according to the neutron pinhole imaging, we sets up the pinhole imaging model, and gets some rebuilt images of neutron pinhole imaging by resolving degraded matrix method base on conjugate gradient method. Imaging quality is decided by the degraded function (Point Spread Function (PSF)) in the system of neutron pinhole imaging. The degraded function of pinhole imaging in this paper gets from the results of simulation based on the Monte Carlo method. After gotten degraded function, many methods can be used for restoration, such as Wiener filter, Least squares, resolving degraded matrix. In this paper we use resolving degraded matrix. It was successful for x-ray image restoration, and gotten best result.Restoration images gained by resolving degraded matrix method are much better than other methods in the aspect of the imaging quality. The fuzzy and distortion phenomena made on the process of the neutron pinhole imaging are eliminated basically. We have promoted the calculating speed and gotten high fidelity. Resolving degraded matrix method is valid in restoring image of neutron pinhole imaging.