Method for simulating foggy infrared vision by using masking technology

Abstract

The invention relates to a method for simulating foggy infrared vision by using masking technology, and belongs to the technical field of virtual simulation. The invention relates to a method for simulating foggy infrared vision by using the masking technology, which is characterized in that an RTT texture camera with uniform texture gray scale is added to a simulation vision port, the gray scalevalue of RTT texture is the average value of the vision gray scale, and the final pixel gray scale of a vision image is the aliasing of the scenery gray scale and the RTT texture gray scale; and thecontrast of the simulation visual image is changed by adjusting the transparency of the RTT texture. The invention has the advantages that through the method, imaging in a foggy day can be successfully simulated in the infrared scene, simulation of the infrared scene in the foggy day is achieved, and the effect is good.

Description

technical field [0001] The invention relates to a method for simulating foggy infrared vision by using mask technology, and belongs to the technical field of virtual simulation. Background technique [0002] There are many types of noise in infrared vision images, such as thermal noise, optoelectronic noise, etc. At present, the causes and laws of infrared imaging noise have been studied in depth. Some scholars have proposed corresponding noise models for different types of noise. For example, when Bart Dierickx of the IMEC laboratory in Belgium performs staring array blind element correction, he believes that the performance of blind elements in images is the same as that of salt and pepper noise. Thermal noise and temperature noise appear as Gaussian random noise. Simulating the noise of the infrared detector and adding it to the simulated scene will make the simulated scene of the infrared detector more realistic. [0003] Domestic simulation research on infrared imag...

AI Technical Summary

Problems solved by technology

[0003] Most domestic simulation research on infrared imaging noise is to add noise to a single two-dimensional infrared image, which has little engineering significance, and there are few research documents on adding visual noise to three-dimensional dynamic infrared vision

This is mainly because in engineering, the scene image displayed by the current 3D image rendering engine is obtained from the 3D model through projection transformation, and it is difficult to add the detector scene noise in mechanism

Some scholars use the three-dimensional particle method to simulate visual noise, but the system overhead of this method is relatively large

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