Grayscale Fusion Method of Visible Light and Infrared Black-and-White Video Images Based on Luminance Transfer

Abstract

The present invention provides a grayscale fusion method based on brightness transfer of visible light and infrared black-and-white video images, so that the black-and-white video images after grayscale fusion have good effects, are conducive to rapid identification of targets, and can realize fusion processing quickly and in real time. A grayscale fusion method of visible light and infrared black-and-white video images based on luminance transfer of the present invention first linearly combines the visible light black-and-white video image and the infrared black-and-white video image to obtain an initial grayscale fusion video image; then the initial grayscale The video image is fused for luminance transfer to obtain the final grayscale fused video image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and mainly relates to a grayscale fusion method of visible light and infrared black-and-white video images. The method is based on image brightness transfer. Background technique [0002] Image fusion can superimpose the pixels of different source image information of the same target. Compared with the image of a single source imaging system, the fused image usually has the characteristics of large amount of information and rich target details, which can significantly improve the target recognition probability. It is one of the hotspots in imaging and image processing technology research. [0003] Image fusion can be roughly divided into grayscale image fusion and color image fusion. Although the overall observation effect of color fusion is better than that of grayscale image fusion, in practical applications, due to the limitations of some subjective and objective factors (such as mono...

AI Technical Summary

Problems solved by technology

The weighted average method and the gray-scale modulation method run fast, but the algorithm is too simple, and the fusion effect is often not ideal; the pyramid fusion algorithm and wavelet fusion algorithm are relatively complex, and the fusion effect is good, but the running speed is slow, and real-time fusion cannot be performed. deal with

[0005] To sum up, how to integrate visible light and infrared black-and-white video images quickly and in real time with good fusion effect is still a challenging problem.

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