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Blurred image sequence fusion restoration method based on Poisson probability model

A technology of fuzzy images and probability models, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems that clear images do not conform to the actual situation, and achieve the effect of improving detail resolution and enhancing use value

Pending Publication Date: 2020-11-24
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0004] The purpose of the present invention is to provide a fuzzy image sequence fusion restoration method based on the Poisson probability model, which can effectively solve the problem that the clear image obtained by the Gaussian probability model modeling fuzzy image restoration method does not conform to the actual situation

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  • Blurred image sequence fusion restoration method based on Poisson probability model
  • Blurred image sequence fusion restoration method based on Poisson probability model
  • Blurred image sequence fusion restoration method based on Poisson probability model

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Embodiment Construction

[0049] In order to make the objectives and advantages of the present invention clearer, the present invention will be specifically described below in conjunction with embodiments. It should be understood that the following text is only used to describe one or several specific embodiments of the present invention, and does not strictly limit the protection scope of the specific claim of the present invention.

[0050] This embodiment is as figure 2 The blurred image sequence shown is taken as an example to illustrate the restoration method of the present invention, where image 3 for figure 2 The real point spread function corresponding to the blurred image sequence.

[0051] Based on Poisson probability model and gradient p Norm-based fuzzy image sequence fusion restoration method, including steps (reference figure 1 ):

[0052] Step 1) Under the framework of Bayesian maximum posterior estimation, use the Poisson probability distribution model to model the noise of the blurred imag...

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Abstract

The invention relates to a blurred image sequence fusion restoration method based on a Poisson probability model. The method comprises the steps of carrying out modeling on blurred image sequence noise, a clear image and a point spread function through employing a Poisson probability distribution model, a gradient lp norm and an l1 norm, and building a blurred image restoration problem model; andthen decomposing the problem model into two optimal estimation sub-problems about an auxiliary variable and blurred image sequence restoration based on a residual l2 norm, solving the two sub-problemsby adopting an iterative optimization algorithm, and finally obtaining estimation values of point spread functions corresponding to the restored image and the blurred image sequence. According to theblurred image sequence fusion restoration method based on the Poisson probability model provided by the technical scheme, the problem that the clear image obtained by the blurred image restoration method adopting Gaussian probability model modeling does not meet the actual situation can be effectively solved.

Description

Technical field [0001] The invention relates to the technical field of computer digital image processing, in particular to a fuzzy image sequence fusion restoration method based on a Poisson probability model. Background technique [0002] In application fields such as daily photography, space remote sensing observation, medical image detection, etc., the relative motion between the target object and the imaging system often causes image blur, which affects the resolution of details of the image and reduces its use value. Therefore, it is particularly important to design a corresponding blurred image restoration algorithm to improve the resolution of the image. [0003] The problem of blurred image restoration is obviously pathological, that is, noise with weaker energy in the blurred image will also be amplified and propagated back to the restored image, which will affect the quality of the restored image. Therefore, regularization constraint submission must be introduced into th...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06T5/00
CPCG06T5/50G06T2207/10016G06T2207/20221G06T5/73G06T5/70
Inventor 董文德徐剑徐贵力
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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