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Visible light and infrared image fusion method based on LatLRR and Retinex enhancement

An infrared image and fusion method technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of not fully utilizing the visual salient features of detailed images, blurred original images, and poor fusion effects.

Pending Publication Date: 2021-07-30
HANGZHOU DIANZI UNIV +1
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  • Claims
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Problems solved by technology

However, when MDLatLRR is used for low-light images, the fusion effect is not good because the original image is blurred, and the fusion of the salient parts does not make full use of the visual salient features of the detailed image.

Method used

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  • Visible light and infrared image fusion method based on LatLRR and Retinex enhancement
  • Visible light and infrared image fusion method based on LatLRR and Retinex enhancement
  • Visible light and infrared image fusion method based on LatLRR and Retinex enhancement

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Embodiment Construction

[0058] The present invention will be further elaborated and illustrated below in conjunction with the accompanying drawings and specific embodiments. The accompanying drawings are for illustrative purposes only and should not be construed as limiting the patent. The technical features of the various implementations in the present invention can be combined accordingly on the premise that there is no conflict with each other.

[0059] A preferred example of the present invention will be described in detail below, as figure 1 Shown, the concrete steps of the present invention are as follows:

[0060] Step 1: Read the visible light image to be fused I 1 and infrared image I 2 , for preprocessing, the specific operation is to convert the image I r (r=1, 2) are equally divided into M sub-blocks with a size of n×n, and each image sub-block is rearranged into a column of data to obtain a data matrix P(I 1 ) and P(I 2 );

[0061] Step 2: For the data matrix P(I 1 ) and P(I 2 )...

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Abstract

The invention discloses a visible light and infrared image fusion method based on LatLRR and Retinex enhancement. The method comprises the following steps: preprocessing a visible light image and an infrared image, obtaining a basic image and a plurality of detail images through multistage potential low-rank decomposition, and reconstructing the decomposed basic image: carrying out Retinex enhancement on the basic image and then carrying out fusion to obtain a fused basic image; and reconstructing the detail part of each level into a detail image, performing multi-vision comprehensive weighted fusion on each pair of detail images, and finally adding the fused basic image and the fused multi-level detail images to obtain a final fused image. The fusion result obtained by fusion is rich in detail information, the scene target is clearer, and the contrast of the image is improved. According to the image fusion method provided by the invention, the amount of information contained in the image can be increased while the detail information of the image is well reserved, so that the image fusion quality is improved.

Description

technical field [0001] The invention relates to the application field of image fusion, in particular to a visible light and infrared image fusion method based on LatLRR and Retinex enhancement. Background technique [0002] Image fusion technology can fuse visible light images and infrared images to obtain synthetic images that are more suitable for human observation or computer vision tasks. Therefore, infrared and visible light image fusion technology has good application prospects in the fields of military reconnaissance, medical diagnosis, and artificial intelligence. [0003] At present, there are many algorithms for the fusion of infrared and visible light images, which can be generally summarized into three categories: methods based on spatial domain, methods based on transform domain and methods based on deep learning. The image fusion method based on the spatial domain refers to the method of directly operating the source image in the spatial domain to obtain the fu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06F17/16G06T5/50
CPCG06T7/0002G06T5/50G06F17/16G06T2207/20221
Inventor 赵辽英潘巧英厉小润
Owner HANGZHOU DIANZI UNIV
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