Multi-frame blind restoration method of adaptive optical system correction image
A technology of adaptive optics and image correction, applied in the field of image processing, can solve the problems of inability to achieve accurate estimation of point spread function, inability to achieve image restoration and quality improvement, etc., to achieve good noise removal ability, good visual effect, and good evaluation index Effect
Pending Publication Date: 2022-02-11
无锡学院
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However, the traditional blind restoration algorithm for estimating the point spread function is applied to the image corrected by the adaptive optics system, and it usually converges to the Delta function in the end, which cannot realize the accurate estimation of the point spread function, so it is impossible to realize the restoration and recovery of the image corrected by the adaptive optics system. Quality improvement
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[0049] Astronomical image data is usually collected by a CCD camera, and its statistical model can usually be expressed as:
[0050] g=g p +n g(9)
[0051] Among them, g p is the number of photoelectrons due to the emission of the object and the background, it is the Poisson random variable of the expected value of h*u+b, h is the point spread function of the imaging system, u is the original image, * is the convolution operation, b is the background item . no g Represents the readout noise, which can be approximated as Gaussian noise, and g is the degraded image acquired by imaging.
[0052] A classic method in the field of Poisson noise image restoration is the Richardson–Lucy algorithm [D.A.Fish, A.M.Brinicombe, E.R.Pike, and J.G.Walker, “Blind deconvolution by means of the Richardson–Lucy algorithm,” J.Opt.Soc.Am. A 12(1), 58-65(1995)] (hereinafter referred to as RL algorithm), RL algorithm is developed from Bayesian theory, and its theory can be expressed by the fol...
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The invention discloses a multi-frame blind restoration method of an adaptive optical system correction image. The method specifically comprises the steps of 1, carrying out the high-frequency information extraction of an f-th frame degraded image g through a gradient filter, and obtaining the extracted high-frequency information, establishing a target function based on the extracted high-frequency information, wherein the target function is used for estimating a point spread function corresponding to the f frames of degraded images, segmenting the target function into a first sub-problem and a second sub-problem based on an alternating iterative algorithm, performing k-time iterative calculation on the first sub-problem by adopting an iterative algorithm to obtain a high-frequency restored image xk, and performing k-time iterative calculation on the second sub-problem by adopting the iterative algorithm based on xk to obtain a point spread function hk, and according to the calculated point spread function, restoring the fth frame of original image by adopting a multi-frame image restoration algorithm containing Poisson noise. The restored image has a better visual effect and better evaluation indexes.
Description
technical field [0001] The invention belongs to the technical field of image processing. Background technique [0002] Since Galileo first used a telescope to make astronomical observations in 1609, human observation of space objects has made great progress, and ground-based large-aperture optical telescopes are one of the most important observation tools for people. The main performance of an optical telescope includes light-gathering power and resolving power, both of which improve with the increase of the effective aperture of the telescope, so large-aperture telescopes can observe darker targets and resolve more details of the target. However, for ground-based telescopes, there are various static and dynamic aberrations inside and outside the system, which seriously affect the imaging quality of the telescope. The static aberration mainly includes the aberration of the optical system itself, and the dynamic aberration mainly refers to structural deformation caused by te...
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IPC IPC(8): G06T5/00G06T5/10G06F17/16
CPCG06T5/10G06F17/16G06T2207/10032G06T5/00G06T5/70
Inventor 徐焕宇徐萌兮李富
Owner 无锡学院