Exploratory research on multidimensional information modulation and calibration methods in infrared computational imaging

With the continuous development of new infrared optoelectronic detection methods, the computational imaging based on encoding mask has received attention due to its ability to obtain spatiotemporal synchronous multidimensional information including intensity, spectrum, and polarization. However, the research results of this technology in the infrared band are relatively scarce at present. As is well known, one of the challenges in infrared computing imaging technology is information modulation and calibration. Only by obtaining a multidimensional information calibration dictionary can subsequent system integration and information recovery be completed. This paper focuses on multi-dimensional information modulation and high-precision calibration technology, and simultaneously conducts research on optimization schemes for multi-dimensional information calibration. Finally, performance indicators are verified using speckle field autocorrelation algorithm. The simulation results indicate that the multi-dimensional information modulation and calibration technology adopted in this paper can effectively obtain the multi-dimensional information calibration dictionary, laying the foundation for the subsequent integration of infrared computing imaging systems.