Night vision image colorization method based on guided filtering image fusion

A technology of guided filtering and colorization, which is applied in the field of night vision image colorization and can solve the problems of unrealistic night vision images.

Pending Publication Date: 2020-10-23
HUNAN UNIV
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Problems solved by technology

In recent years, many improved night vision image colorization algorithms have been proposed, bu...

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  • Night vision image colorization method based on guided filtering image fusion
  • Night vision image colorization method based on guided filtering image fusion
  • Night vision image colorization method based on guided filtering image fusion

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Embodiment Construction

[0042] The steps of the present invention are as follows:

[0043] Step 1: Two-scale decomposition

[0044] The input source image is average filtered to obtain the base layer of the image, the filter size is 31 × 31, the source image is subtracted from the base layer, and the detail layer of the image is obtained.

[0045] Step 2: Build a weight map

[0046] Laplacian filtering is performed on the source image to obtain high-frequency details. Since Laplacian filtering will generate negative values ​​when calculating the gradient in the x and y directions, the absolute value of the filtering result is taken. Then perform a Gaussian filter on the high-frequency details to obtain a saliency map S 1 , S 2 and S 3 , compare the saliency maps to determine the weight map P 1 , P 2 , P 3 . Guided filtering is performed on the obtained weight map, and the corresponding source image is used as the guide image, and the weight maps of different layers will be filtered with diffe...

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Abstract

The invention relates to a night vision image colorization method based on guided filtering image fusion, and belongs to the technical field of digital image processing. Aiming at the fusion of an infrared image and a visible light image, various kinds of information are displayed on one fusion image, and a target is highlighted. Specifically, firstly, an image fusion algorithm based on guided filtering is adopted to carry out weighted fusion on two or more multi-band grayscale images, a grayscale fusion image with detail information of multiple images is obtained, then color transmission is carried out on the fusion image according to a Welsh algorithm, and thus a final natural color image is obtained. The color image obtained through the method is superior to a traditional night vision image colorization method in the aspects of image contrast, color brightness, image definition and the like.

Description

technical field [0001] The invention relates to a night vision image colorization method based on guided filtering image fusion, and belongs to the technical field of digital image processing. Background technique [0002] The night vision image colorization technology is committed to obtaining a color night vision image whose color information is closer to the real color of the object, which is consistent with the visible light band of the human eye under daytime conditions. Compared with the pseudo-color night vision image, it further improves the recognition of the target. speed and accuracy, so it has high practical significance and application value. [0003] With the continuous improvement of the usability of images of different bands obtained by sensors with different spectral sensitivities, the development of image fusion technology has been promoted. An efficient combination of complementary and partially redundant multiband images can capture information not direc...

Claims

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Application Information

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IPC IPC(8): G06T5/50G06T7/90G06T11/00
CPCG06T5/50G06T7/90G06T11/001G06T2207/20221
Inventor 王珊欧博秦拯张吉昕
Owner HUNAN UNIV
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