Infrared polarization image fusion method based on Laplacian pyramid

Abstract

The invention discloses an infrared polarization image fusion method based on the Laplacian pyramid. The method is mainly used for fusion of an infrared radiation intensity image and a polarization degree image. By means of the method, Gaussian pyramid decomposition can be carried out on each image to be infused so as to acquire all levels of an approximate Gaussian pyramid and all levels of the Laplacian pyramid of the image, image fusion is carried out on the top layer of the approximate Gaussian pyramid through the weighted average method, image fusion is carried out on all layers of the Laplacian pyramid with a local area average gradient as a criterion, and image reconstruction is carried out on an infused image to acquire a final infused image. The implement method is simple and high in arithmetic speed, and testing shows that the infused image is improved a lot when compared with the infrared radiation intensity image and the polarization degree image.

Description

Technical field: [0001] The invention belongs to the field of image detection and processing, and in particular relates to an infrared polarization image fusion method based on a Laplacian pyramid. Background technique: [0002] The detection and recognition of infrared targets and infrared camouflaged targets in complex backgrounds has its particularity. Under complex backgrounds and camouflaged targets, the gray level difference between the target and the background, and the real and fake targets is small. In the infrared radiation intensity image Difficult to tell. Especially in recent years, infrared camouflage technology has developed rapidly. Infrared camouflage strives to achieve the "same spectrum and same color" between the target and the background, as well as the real and fake targets, which poses a challenge to the infrared system. Infrared radiation is an electromagnetic wave, and radiation intensity, polarization, and phase are all important characteristics of...

AI Technical Summary

Problems solved by technology

[0002] The detection and recognition of infrared targets and infrared camouflaged targets in complex backgrounds has its particularity. Under complex backgrounds and camouflaged targets, the gray level difference between the target and the background, and the real and fake targets is small. In the infrared radiation intensity image indistinguishable

Especially in recent years, infrared camouflage technology has developed rapidly. Infrared camouflage strives to achieve the "same spectrum and same color" between the target and the background, as well as the true and false targets, which poses a challenge to the infrared system.

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