&lt;title&gt;Superresolution when PSF is indefinite&lt;/title&gt;

Terentiev, Evgeni N.; Terentiev, Nikolai E.

doi:10.1117/12.438257

Cited by 2 publications

(1 citation statement)

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“…Most of the studies on the super resolution imaging processing method were made based on the characteristics of the space-invariant point spread function. Comparatively, few studies were made on the super resolution processing of the images with space-dependent point spread function (PSF) [10][11][12]. 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.…”

Section: Introductionmentioning

confidence: 99%

Study of Supper Resolution Processing Methods for Thick Pinhole Image

Xie¹,

Zhang²,

Zhang³

et al. 2013

JSIP

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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.

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Section: Introductionmentioning

confidence: 99%