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Image restoration method based on point spread function model for asymmetric optical system

A point spread function and optical system technology, which is applied in the field of image restoration based on the point spread function model of asymmetric optical system, can solve the problems of large simulation matching error and difficult image restoration, and achieve the effect of improving the effect

Pending Publication Date: 2020-12-25
ZHEJIANG UNIV OF TECH
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Problems solved by technology

Since the Gaussian model cannot accurately approximate the theoretical degradation function model, and there is a large simulation matching error with the actual blurring process, it is difficult to achieve better results for image restoration based on the Gaussian model.

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  • Image restoration method based on point spread function model for asymmetric optical system
  • Image restoration method based on point spread function model for asymmetric optical system
  • Image restoration method based on point spread function model for asymmetric optical system

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Embodiment Construction

[0039] The present invention will be further described below in conjunction with the accompanying drawings.

[0040] refer to Figure 1 ~ Figure 3 , an image restoration method based on the point spread function model of an asymmetric optical system. Due to the more realistic estimation of the degradation blur process, the deconvolution algorithm using the VPW model for image restoration has a better restoration effect. Here, the traditional The Lucy-Richardson image restoration algorithm to restore the image.

[0041] The image restoration method comprises the following steps:

[0042] Step 1: Preprocessing: Degraded images due to the incompatibility of the optical system itself Perform preprocessing, where M and N are integers, representing the number of rows and columns of the image matrix, respectively. Preprocessing mainly includes filtering out noise interference and correcting geometric distortion. Among them, the effect of selecting the best notch filter for noise f...

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Abstract

An image restoration method based on a point spread function model for an asymmetric optical system uses a VPW model to approximate a point spread function of image degradation, and is used in an image restoration algorithm. As Gaussian PSF is a blurring process which cannot be very close to the reality, and approximate consideration is carried out from the form of optical system diffraction. Compared with a Gaussian model, the invention has the advantages that the selected VPW model is wider in adaptability, compared with the Gaussian model, four parameters are adopted to specifically describe the objective fuzzy process, the objective fuzzy process is closer to the actual fuzzy situation, the invention is obtained through theoretical analysis and experimental results, the model is used in a deblurring algorithm, and the image restoration effect is improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image restoration method based on a point spread function model of an asymmetric optical system. Background technique [0002] Humans mainly obtain external information through vision, and visual signals are finally converted into images to be perceived by humans, so images are closely related to human life. At present, many fields and technologies need to combine images, but because images involve many links in the process of collection , the image degradation process does not have perfect self-adaptability due to the difference between the image imaging system and the human eye imaging system. When recording a certain scene, due to reasons such as the system itself and the transmission medium, the image is blurred or distorted, thereby reducing the quality of the image. Factors that may affect image quality include optical system, electronic system, sensor performa...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T3/00G06F17/15
CPCG06F17/153G06T3/02G06T5/80G06T5/73G06T5/77G06T5/70Y02T10/40
Inventor 黄国兴刘艺鹏卢为党彭宏
Owner ZHEJIANG UNIV OF TECH
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