Research On Infrared Thermal Imaging Temperature Measurement Method Based On Wavelet And Super-resolution

Infrared thermal imaging system receives the infrared radiation emitted by the measured object and converts it into visible infrared image to reflect the temperature field around the measured object.It has the advantages of all-weather work in bad weather,safety,stability and not easy to interfere,strong target detection ability and so on.Therefore,it is widely used in industrial production,intelligent driving,national economy and other fields.Due to the material quality,process and optical diffraction limit of infrared focal plane array,the core device of infrared thermal imaging,the response difference of each pixel on the infrared focal plane is very significant even under uniform infrared radiation,resulting in the non-uniform noise of fringe distribution in the infrared image collected by the infrared thermal imaging system.At the same time,in order to avoid the interference of noise on the infrared detector,there is a minimum limit on the pixel spacing,which leads to the low spatial resolution of the infrared image collected by the infrared thermal imaging system.There is a corresponding relationship between the temperature value of the temperature measuring point of the infrared thermal imaging system and the gray value of the pixel,which makes the low-quality infrared image output by the system seriously affect the accuracy of target detection,recognition and tracking.In order to solve the above problems,the subject focuses on how to improve the quality of infrared image and the accuracy of infrared temperature measurement.The problems are analyzed,the mathematical model is established and the solution is studied respectively.The effectiveness of the algorithm is verified by simulation experiments.The main work of this paper is as follows:(1)Aiming at the problem of non-uniform noise in infrared image,the non-uniform correction algorithm based on total variation is studied.Aiming at the directional characteristics of non-uniform noise in image,the non-uniform correction algorithm based on total variation is optimized and improved by using wavelet theory,and through simulation experiments,Verify the suppression effect of the improved algorithm on non-uniform noise.(2)Aiming at the problem that the spatial resolution of the infrared image collected by the infrared thermal imaging system is difficult to improve,the sparse representation model of the image is established by comparing and analyzing the super-resolution mathematical model and the general low resolution image generation model,and the sparse decomposition algorithm of the infrared image based on L1 norm is proposed to solve the problem of large residual of the reconstructed image in the traditional sparse decomposition algorithm,The decomposition coefficients are expanded in the high-resolution dictionary to reconstruct the high-resolution image.Simulation results show that compared with the traditional bicubic interpolation method,the PSNR of the algorithm increases by 0.1,which improves the reconstruction effect of infrared image.(3)In view of the large temperature measurement error caused by external factors.by studying the temperature measurement principle,the error of infrared temperature measurement caused by internal components,surrounding high-temperature objects and the distance between the system and the measured object is analyzed,and the temperature compensation equation for correcting the temperature,ambient temperature and temperature measurement distance is established.The verification experiment of temperature compensation is designed.The experimental results show that the temperature measurement error after compensation is less than 0.5K.(4)In order to verify the function and performance of infrared thermal imaging temperature measurement method based on Wavelet and super-resolution,the hardware platform of infrared thermal imaging system is built,mainly including infrared detector module,ranging module,temperature measurement module,serial port module and other auxiliary modules.The hardware platform can realize the real-time transmission of the test temperature of the pixel to the PC terminal in the form of data protocol through the serial port,and realize the functions of collecting the infrared image of the object and testing the temperature of the object.