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Image restoration method based on night APSF estimation

An image and remote sensing image technology, applied in the field of image restoration, can solve the problems of PSF estimation and restoration methods without research, and achieve the effect of improving image quality and improving image quality

Inactive Publication Date: 2019-10-01
LIAONING TECHNICAL UNIVERSITY
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Problems solved by technology

PSF estimation and restoration methods for images taken at night have not been studied in the existing research methods

Method used

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  • Image restoration method based on night APSF estimation
  • Image restoration method based on night APSF estimation
  • Image restoration method based on night APSF estimation

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Embodiment Construction

[0046] The specific implementation of the present invention will be described in detail below in conjunction with the accompanying drawings. As a part of this specification, the principles of the present invention will be described through examples. Other aspects, features and advantages of the present invention will become clear through the detailed description. In the referenced drawings, the same reference numerals are used for the same or similar components in different drawings.

[0047] Such as figure 1 As shown, in order to restore the night light remote sensing image taken at night, the image restoration method based on night APSF estimation of the present invention includes the following steps:

[0048] S1: Input night light remote sensing images taken at night.

[0049] S2: Calculate the atmospheric optical thickness T, where the expression of T is:

[0050]

[0051] Among them, σ represents the atmospheric extinction coefficient, and R represents the radiation ...

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Abstract

The invention discloses an image restoration method based on night APSF estimation. The method comprises the following steps: inputting a noctilucent remote sensing image shot at night; calculating the atmospheric optical thickness; estimating a forward scattering coefficient according to the weather condition; inputting the light source intensity; substituting the T, q and I0 obtained in the steps S2 to S4 into an atmosphere point spread function model for resolving; estimating an APSF value of the image; performing image restoration by using the ratio type sparse constraint model; outputtingthe noctilucent remote sensing restored image shot at night; and carrying out quality evaluation on the noctilucent remote sensing image before and after restoration by adopting two indexes of a peaksignal to noise ratio PSNR and an energy gradient. The processing process of the method is not approximate, APSF estimation and image restoration processing are mainly carried out on the noctilucentremote sensing image shot at night, and the effectiveness of the method can be effectively and visually proved by carrying out quality evaluation on the image before and after restoration.

Description

technical field [0001] The invention belongs to the technical field of image restoration, in particular to an image restoration method based on night APSF estimation. Background technique [0002] Image restoration is a technology with broad development space and application prospects. It is a very important processing technology in the field of image processing. In recent years, it has become one of the hot issues in the field of image research at home and abroad. The image restoration process is actually an estimation process, which needs to restore the degraded image according to some specific image degradation models, so as to achieve the purpose of improving the visual quality to a certain extent. Point spread function (PSF) is an important estimation parameter in the process of image restoration, and the accuracy of its estimation directly affects the effect of image restoration. [0003] The atmosphere scatters lights at night, creating a blurred effect around the li...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/00
CPCG06T7/0002G06T2207/10032G06T5/73
Inventor 卜丽静张正鹏许峥辉
Owner LIAONING TECHNICAL UNIVERSITY
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