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Infrared image enhancement method based on weighted guide filtering

A guided filtering and infrared image technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems that the edge texture is not well improved, the edge texture is not significantly improved, and the detail enhancement is not obvious enough to achieve edge texture. Highlight and increase the effect of detail information

Pending Publication Date: 2022-02-25
CHANGCHUN UNIV OF SCI & TECH
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Problems solved by technology

[0004] In order to solve the problem that the existing image detail processing enhancement is not obvious enough and the edge texture is not well improved, the present invention provides an infrared image enhancement method based on weighted guided filtering, which meets the requirements of 14bit to 8bit conversion, and can also be used To improve the quality of 8bit infrared images, solve the problem that the detail enhancement is not obvious enough, the edge texture is not significantly improved, and it is more conducive to the observation of the image by the human eye

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  • Infrared image enhancement method based on weighted guide filtering
  • Infrared image enhancement method based on weighted guide filtering
  • Infrared image enhancement method based on weighted guide filtering

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Embodiment

[0058] Step 1. The input high dynamic range infrared image is processed hierarchically through an improved multi-scale weighted guided filter to obtain a base layer image and two detail layer images; where the penalty coefficient ∈ of the first guided filter is set to 0.08 , the penalty coefficient ∈ of the second guided filter is set to 0.06; the λ parameter of the weight in the weighted guided filter is set to (0.01×) 2 , L is the dynamic range of the input image.

[0059] Step 2, apply adaptive histogram equalization processing with limited contrast to the image of the base layer, stretch its contrast and compress its dynamic range, and obtain an enhanced image of the base layer; where the required threshold T is usually set to T=0.75H max .

[0060] Step 3: For the two detail layer images obtained after the processing in step 1, first use the maximum a posteriori method based on the Poisson-Markov random field to add certain information, and then use the dynamic range com...

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Abstract

The invention discloses an infrared image enhancement method based on weighted guided filtering, belongs to the technical field of image enhancement, and aims to solve the problems that the existing image detail processing enhancement is not obvious enough and the edge texture is not well improved.The method comprises: processing an input high dynamic range infrared image by means of an improved multi-scale weighted guided filtering, obtaining the two layers of detail layer images and one layer of base layer image; carrying out contrast-limited adaptive histogram equalization processing on the base layer image, stretching the contrast and compressing the dynamic range to obtain a base layer enhanced image; processing the two detail layer images obtained after processing in the step 1 by adopting a maximum posteriori method based on a Poisson-Markov random field, adding certain information, and then carrying out dynamic range compression based on gamma correction to obtain two detail layer enhanced images; and carrying out linear fusion on the obtained basic layer enhanced image and the detail layer enhanced image according to weights, and finally obtaining an enhanced image.

Description

technical field [0001] The invention relates to an infrared image enhancement method based on weighted guided filtering, and belongs to the technical field of image enhancement. Background technique [0002] Image enhancement has been widely used in various applications ranging from driving navigation and medical diagnosis to industrial monitoring. Image enhancement is to process the original image to obtain a higher quality image. For example, infrared image enhancement systems are widely used in military and civilian monitoring fields. Due to the long distance between the target and the sensor, the infrared radiation will be affected by the thermal radiation of the atmosphere, so that the contrast of the infrared image is relatively low, and the details are not obvious and easy to be missing, making it difficult to observe and identify. Therefore, improving the contrast of infrared images and enhancing details becomes the key to infrared image processing. However, most ...

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Application Information

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IPC IPC(8): G06T5/00G06T5/40
CPCG06T5/40G06T2207/10048G06T2207/20024G06T2207/20192G06T5/00
Inventor 詹伟达胡家珲朱德鹏桂婷婷唐雁峰
Owner CHANGCHUN UNIV OF SCI & TECH
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