Local adaptive infrared image enhancement method based on image decomposition

A local self-adaptive, infrared image technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of low contrast, low signal-to-noise ratio, and blurred edges of infrared images

Active Publication Date: 2021-04-02
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0003] In order to solve the problems of low contrast, blurred edges, and low signal-to-noise ratio of infrared images acquired by infrared detectors in the prior art, the present invention proposes a local adaptive infrared image enh...

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  • Local adaptive infrared image enhancement method based on image decomposition
  • Local adaptive infrared image enhancement method based on image decomposition
  • Local adaptive infrared image enhancement method based on image decomposition

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[0070] Below in conjunction with accompanying drawing, technical scheme of the present invention will be further described:

[0071] The present invention proposes a local adaptive infrared image enhancement method based on image decomposition, such as figure 1 , 2 As shown, it specifically includes the following steps:

[0072] Step 1, using the global mapping function and the local mapping function to perform contrast enhancement processing on the original infrared image to obtain a contrast enhanced infrared image;

[0073] Step 2, using image decomposition technology to perform image decomposition for the contrast-enhanced infrared image;

[0074] Step 3: Perform detail enhancement processing on the image decomposition result based on an adaptive enhancement algorithm to obtain an infrared enhanced image.

[0075] In the inventive method, the principle of contrast enhancement is as follows:

[0076] Select a dataset containing a large number of grayscale images, and di...

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Abstract

The invention discloses a local adaptive infrared image enhancement method based on image decomposition, and aims to solve the technical problems of low contrast ratio, fuzzy edge and low signal-to-noise ratio of an infrared image acquired by an infrared detector in the prior art. The method comprises the following steps: performing contrast enhancement processing on an original infrared image byusing a global mapping function and a local mapping function to obtain a contrast-enhanced infrared image; carrying out image decomposition on the contrast-enhanced infrared image by utilizing an image decomposition technology; and performing detail enhancement processing on the image decomposition result based on an adaptive enhancement algorithm to obtain an infrared enhanced image. According tothe invention, the contrast and details of the infrared image can be effectively enhanced, so the image is clearer.

Description

technical field [0001] The invention relates to a local self-adaptive infrared image enhancement method based on image decomposition, belonging to the technical fields of machine vision and graphic processing. Background technique [0002] At present, infrared imaging technology is widely used in military, civil, medical and other fields because of its strong anti-interference ability and ability to work around the clock. However, infrared detectors are easily affected by atmospheric radiation and noise, so the detected infrared images usually have disadvantages such as low contrast, blurred edges, and low signal-to-noise ratio, and the visual effect is not good, so they cannot be directly used in the field of high-precision imaging. In order to improve the visual effect of the infrared image and make the infrared image clearer, it is necessary to enhance the contrast and details of the infrared image and improve its signal-to-noise ratio. Contents of the invention [000...

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Application Information

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IPC IPC(8): G06T5/40G06T7/90
CPCG06T5/40G06T7/90G06T2207/10048G06T2207/20021
Inventor 干宗良王梦柔刘峰
Owner NANJING UNIV OF POSTS & TELECOMM
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