Infrared and visible light image fusion method under non-subsampled shear wave transform domain

A non-subsampling, image fusion technology, applied in the field of infrared and visible light image fusion, it can solve the problems of low-frequency sub-band image detail loss, incomplete and insufficient image information, etc. The effect of contrast

Pending Publication Date: 2022-05-27
JIANGSU OCEAN UNIV
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Problems solved by technology

[0005] The purpose of the invention of this patent is to better make up for the shortcomings of the existing NSST-based image fusion method, that is, the "artifact" problem of the fused high-frequency sub-band image and the "detail loss" problem of the low-frequency sub-band image , resulting in incomplete and insufficient preservation of source image information in the fusion result

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  • Infrared and visible light image fusion method under non-subsampled shear wave transform domain
  • Infrared and visible light image fusion method under non-subsampled shear wave transform domain
  • Infrared and visible light image fusion method under non-subsampled shear wave transform domain

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[0054] The embodiments of the present invention are described in detail below, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, and the protection scope of the present invention can be more clearly defined.

[0055] according to Figure 1-4 As shown, the present invention provides a technical solution: a method for fusion of infrared and visible light images in the non-subsampling shear wave transform domain, and the specific implementation is as follows S1 to S3 to obtain a fusion image;

[0056] S1: Use NSST to decompose the source image into a low-frequency sub-band image and a high-frequency sub-band image, where the low-frequency sub-band image contains the background information and a small amount of edge and texture information of the source image; the high-frequency sub-band image contains most of the source image. edge, texture information, and then enter S2;

[0057] S1-1: Using NSST for source i...

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Abstract

The invention relates to an infrared and visible light image fusion method in a non-subsampled shearlet transform domain. The method generally comprises three parts of decomposition of a source image, fusion of sub-band images and reconstruction of fused sub-band images. Detail information remaining in the low-frequency sub-band image is extracted through a new low-frequency sub-band fusion strategy; and edge texture details of more source images are reserved and artifacts are reduced through a high-frequency fusion strategy of guiding filtering optimization weighting. According to the method, the problem of'artifacts' is remarkably relieved, and the loss of detail information in the source image is effectively reduced.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an infrared and visible light image fusion method in a non-subsampling shear wave transform domain. Background technique [0002] With the rapid development of sensor technology, the working method of multi-sensor fusion is becoming more and more popular. Compared with the single sensor mode, the multi-sensor cooperative working mode can better meet the application requirements. For example, the infrared camera can obtain images containing rich thermal radiation information, and can distinguish them according to the different thermal feedback between the target and the background; visible light camera It is possible to acquire well-structured images with high spatial resolution and rich texture details. The fused image obtained by image fusion technology has the advantage information of two kinds of images at the same time. At present, the technology of image fusion ha...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06T5/20G06T7/13G06T11/00
CPCG06T5/50G06T5/20G06T7/13G06T11/003G06T2207/10048G06T2207/20192G06T2207/20221
Inventor 康家银武凌霄张文娟
Owner JIANGSU OCEAN UNIV
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