Infrared and low light image fusion method

Abstract

The invention discloses an infrared and low light image fusion method. The method comprises the following steps of: (1) acquiring an original infrared image by using an infrared camera, and acquiring an original low light image by using a low light camera; (2) respectively partitioning the acquired original infrared image and the original low light image so as to divide the original infrared image and the original low light image into N mutually corresponding original image sub-blocks; (3) in a parallel processing system, simultaneously carrying out image fusion on the mutually corresponding original image sub-blocks in the original infrared image and the original low light image so as to obtain fused image sub-blocks; and (4) combining the fused image sub-blocks so as to generate a final fused image. The fused image obtained by the invention not only has a high image quality, but also has a high fusion speed, and therefore, the infrared and low light image fusion method has a wide application prospect in the military and civil fields of night vision surveillance, security monitoring, and the like.

Description

technical field [0001] The invention relates to the technical field of image fusion processing, in particular to an infrared and low-light image fusion method. Background technique [0002] Infrared / low-light image fusion technology has been widely used in the military field. It combines the advantages of rich scene details in low-light images and strong contrast between infrared image targets and backgrounds into one image, so that observers can get a better view of a certain scene. Accurate, comprehensive and reliable image information is highly valued. Since the 1990s, the military and scientific research institutions of various countries have conducted in-depth and meticulous research on infrared / low-light image fusion technology, and achieved fruitful results. During this period, a large number of practical and excellent algorithms have emerged, such as: arithmetic mean fusion algorithm, principal component analysis fusion algorithm, multi-resolution image fusion algor...

AI Technical Summary

Problems solved by technology

On the battlefield, just having good image quality regardless of the computing speed of the system will bring a devastating blow to our side (such as: missile tracking system, fire control system). Similarly, increasing the computing speed of the system will reduce the Image quality will prevent us from obtaining comprehensive intelligence of the enemy (such as: reconnaissance system)

However, on the basis of existing algorithms and existing fusion system platforms, it is quite difficult to balance the two

[0004] Patent 1: Multi-strategy image fusion method under the framework of compressed sensing (CN102096913B, application date 2011.01.25) adopts the variable density sampling model of Fourier coefficient low-frequency full sampling, which reduces the amount of data that needs to be transmitted and reduces the complexity of fusion , which shortens the fusion time, but there is a problem of information loss

[0005] Patent 2: Image fusion method and equipment (CN101887581B, application date 2010.06.17) improves the traditional PCA (Principal Component Analysis) transformation image fusion method, and processes the source image into blocks so that the fused image can fully reflect the source image Their respective main information, but this method is mainly used in the field of medical images, and the processing process is not real-time

[0006] To sum up, these algorithms are mostly used in the fields of remote sensing and medicine at present, and there is no requirement for the fusion time of images, which cannot make the fusion of images meet real-time performance, thus hindering the real-time fusion and reconnaissance of images

Images