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Infrared image enhancement method based on multi-scale bilateral filtering and visual saliency
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An infrared image, bilateral filtering technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of low contrast, low signal-to-noise ratio, etc., to achieve the effect of less calculation, enhanced details, and improved image quality
Pending Publication Date: 2020-08-04
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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[0004] In order to solve the problems of low signal-to-noise ratio and weak contrast between the infrared intensity image and infrared polarization image output by the uncooled infrared focal plane polarization imagingsystem, the present invention proposes a method based on multi-scale bilateral filtering and visually significant A revolutionary infrared image enhancement method
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Embodiment 1
[0031] This embodiment proposes an infrared image enhancement method based on multi-scale bilateral filtering and visual saliency, such as figure 1 As shown, the method of this embodiment mainly includes the following steps:
[0032] Step 1, image layerprocessing: input image I in , using the Multiscale Bilateral Filter (MBF) method to process the input image I in For layering, decompose into a background layer and N detail layers The background layer is the low-frequency layer, and the detail layer is the high-frequency layer.
[0033] In this embodiment, the calculation formula of the multi-scale bilateral filtering method adopted is expressed as follows:
[0034] u j =MBF(u j-1 , σ s j-1 , σ r , t), u in the formula j where j represents the jth iteration, where u 0 is the input image I in , namely u 0 =I in , t is the number of iterations, σ s is the scaling factor, σ r is the operating radius. In order to avoid time-consuming algorithm, a larger scale f...
Embodiment 2
[0046] In this embodiment, the infrared image enhancement method proposed in the above-mentioned embodiment 1 is used to process the infrared light intensity image ( figure 2 shown) for enhancement processing, that is, the input image I in . The specific process is as follows:
[0047] Step 1, image layering processing. Input infrared intensity image I in , will I in Using the multiscale bilateral filter (Multiscale Bilateral Filter, MBF) method for layered processing, decomposed into a background layer and N detail layers The background layer is the low-frequency layer, and the detail layer is the high-frequency layer;
[0048] The calculation formula of the MBF method adopted in the present embodiment is as follows: u j =MBF(u j-1 , σ s j-1 , σ r , t), u 0 =I in , t is the number of iterations, the number of iterations in this embodiment is 2, σ s is the scaling factor, σ r is the operation area, and the operation area in this embodiment takes eight areas. ...
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Abstract
The invention discloses an infraredimage enhancement method based on multi-scale bilateral filtering and visual saliency, and the method comprises the steps: carrying out the layering of an image through the multi-scale bilateral filtering, decomposing the image into a background layer and a detail layer, and carrying out the denoising of the detail layer. Besides, a visual saliencyanalysis method is adopted to extract a saliency region of the original image, weighted fusion is carried out on the saliency region and a background layer of the image, weighted fusion is carried out on the saliency region and a denoised detail layer, and an enhanced image is obtained. The method is suitable for an infrared intensity image and an infrared polarization degree image at the same time, has a goodeffect in the aspects of contrast improvement and deblurring of the images, and enables the image details to be clearer.
Description
technical field [0001] The invention relates to the technical field of infrared imageprocessing, in particular to an infrared image enhancement method based on multi-scale bilateral filtering and visual saliency. Background technique [0002] Traditional infrared imaging uses the radiation difference between the target and the background for detection, and can only obtain the intensity information of the scene. However, in the process of emitting, scattering, reflecting and transmitting electromagnetic waves, objects will generate infrared polarization information. Infraredpolarization imaging technology can not only detect the infrared intensity information of the scene, but also detect the infrared polarization information. This technology can well distinguish targets and backgrounds with the same thermal radiation but different polarization characteristics, and can make up for the shortcomings of traditional infrared imaging. Infraredpolarization imaging technology ha...
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