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Atmospheric scattering model based infrared image enhancing method

An atmospheric scattering model and infrared image technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as halo effect, over-enhancement, and loss of scene details

Active Publication Date: 2018-09-14
李永红
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AI Technical Summary

Problems solved by technology

[0002]At present, the existing infrared image enhancement methods are difficult to restore a large number of scene details originally hidden in the infrared image, resulting in the loss of a large number of scene details originally hidden in the infrared image , and it is easy to introduce negative effects such as overexposure, overenhancement, halo effect, etc.

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  • Atmospheric scattering model based infrared image enhancing method

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Embodiment Construction

[0059] Such as figure 1 As shown, the infrared image enhancement method based on the atmospheric scattering model disclosed by the present invention comprises the following steps:

[0060] Step 1, using the similarity between the inverted infrared image and the foggy image, reverse the infrared image to convert it into a virtual foggy image;

[0061] Step 2, using quadtree decomposition technology to divide the inverted infrared image into a series of sub-blocks, and perform independent dehazing processing in each sub-block;

[0062] Step 3, inverting the inverted infrared image after defogging processing again to obtain an enhanced infrared image;

[0063] Step 4, performing edge restoration on the enhanced infrared image based on the guided full variation model;

[0064] Step 5, adjust the brightness of the enhanced infrared image based on the Retinex model, so as to obtain the final enhanced infrared image.

[0065] In step 1, the inversion operation of the infrared imag...

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Abstract

The invention provides an atmospheric scattering model based infrared image enhancing method. The method includes steps of performing inversion operation on an infrared image so as to convert the infrared image into a virtual foggy image by utilizing the similarity between an inversion infrared image and a foggy image; utilizing a quadtree decomposition technology to decompose the inversion infrared image into a series of sub blocks and performing independent defogging treatment within each sub block; performing inversion on the inversion infrared image after defogging treatment again and obtaining an enhanced infrared image; based on an orientation total variation model, performing edge repairing on the infrared image subjected to enhancement; performing luminance adjustment on the infrared image subjected to enhancement based on a Retainex model, and thus the final enhanced infrared image is obtained. By adopting the method provided by the invention, a large amount of scene details hidden in the infrared image can be restored and no negative effect is caused.

Description

technical field [0001] The invention relates to an infrared image enhancement method, in particular to an infrared image enhancement method based on an atmospheric scattering model. Background technique [0002] At present, the existing infrared image enhancement methods are difficult to restore a large number of scene details originally hidden in the infrared image, resulting in the loss of a large number of scene details originally hidden in the infrared image, and it is easy to introduce overexposure, overenhancement, light halo effect and other negative effects. Therefore, it is necessary to design an infrared image enhancement method based on the atmospheric scattering model, which can restore a large number of scene details originally hidden in the infrared image without introducing negative effects. Contents of the invention [0003] The purpose of the present invention is to provide an infrared image enhancement method based on an atmospheric scattering model, whi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/30
CPCG06T5/00G06T5/30G06T2207/30192G06T2207/10048G06T5/73
Inventor 顾振飞袁小燕陈凡尹玉军姜浩东单祝鹏丁一
Owner 李永红
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