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Image enhancement method for scene self-adaptive wide dynamic infrared thermal imaging

An infrared thermal imaging and image enhancement technology, applied in the field of image processing, can solve problems such as over-enhancement and poor scene adaptability, and achieve the effects of improving robustness, reducing the difficulty of use, and expanding the scope of use.

Active Publication Date: 2020-11-06
GUOKE TIANCHENG BEIJING TECH CO LTD
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Problems solved by technology

[0004] Aiming at the above shortcomings in the prior art, the present invention provides a scene-adaptive wide dynamic infrared thermal imaging image enhancement method that solves the problems of poor scene adaptability and over-enhancement of the existing infrared thermal imaging wide dynamic range image enhancement technology

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  • Image enhancement method for scene self-adaptive wide dynamic infrared thermal imaging
  • Image enhancement method for scene self-adaptive wide dynamic infrared thermal imaging
  • Image enhancement method for scene self-adaptive wide dynamic infrared thermal imaging

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Embodiment

[0057] Aiming at the poor scene adaptability and over-enhancement problems of the existing infrared thermal imaging wide dynamic range image enhancement technology, the present invention proposes a scene-adaptive wide dynamic range infrared thermal imaging image enhancement method, which introduces limited dynamic Contrast Limited Adaptive histgramequalization (CLAHE) algorithm, which divides the original image into blocks and processes each block separately, and introduces an adaptive parameter based on entropy calculation. By introducing the CLAHE algorithm, the problem of image over-enhancement is solved. At the same time, because the CLAHE algorithm is based on the scene statistical information to enhance the low-frequency base layer image, the scene adaptive ability of the algorithm is improved by introducing adaptive parameters. After the low-frequency base-level image is processed by the CLAHE algorithm, the global contrast of the image will decrease, resulting in the we...

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Abstract

The invention provides an image enhancement method for scene self-adaptive wide dynamic infrared thermal imaging, which belongs to the technical field of image processing. The method comprises the following steps of calculating to obtain an initial low-frequency base layer image by using a bilateral filtering algorithm according to a 16-bit original image; calculating to obtain an initial high-frequency detail image; performing adaptive histogram equalization (CLAHE) operation on the initial low-frequency base image to obtain a first 8-bit low-frequency base image; performing global histogramequalization processing on the initial low-frequency base image to obtain a second 8-bit low-frequency base image; obtaining a final high-frequency detail image by utilizing automatic gain control operation according to the initial high-frequency detail image; utilizing linear weighting calculation to obtain a final low-frequency base layer image; and fusing the final high-frequency detail image and the final low-frequency base image to obtain an enhanced output image. According to the method, problems of poor scene adaptability and over-enhancement of the existing infrared thermal imaging wide dynamic range image enhancement technology are solved.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to an image enhancement method for scene adaptive wide dynamic infrared thermal imaging. Background technique [0002] With the rapid development of science and technology, infrared imaging systems are getting more and more extensive and in-depth applications in military and civilian applications. At the same time, people's requirements for image quality in thermal imaging systems are also getting higher and higher. In the infrared thermal imaging data acquisition system, a 14-bit or 16-bit analog-to-digital converter (Analog-to-digital converter, ADC) is usually used to collect the raw data output by the detector, which contains rich scene information. Since the infrared thermal image is finally presented to the human eye, and the human eye can only distinguish 128 gray levels (8 bits), the processing of the infrared thermal image is faced with the problem of dynamic range...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06T5/40G06T7/11G06F17/18
CPCG06F17/18G06T5/40G06T5/50G06T2207/10048G06T2207/20028G06T2207/20221G06T7/11
Inventor 龙岸文罗珏典
Owner GUOKE TIANCHENG BEIJING TECH CO LTD
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