Nonuniformity Correction Algorithms of IRFPA Based on Radiation Source Scaling

Mathematical method was studied for the non-uniformity correction of IRFPA based on radiation source scaling for the engineering applications of infrared imaging system. It is indicated that the complicated engineering problem can be solved by the method of function interpolation or function fitting. Some dependent correction algorithms are derived based on this principle, such as cubic spline function interpolation, B-spline function least squares fitting and polynomial least squares fitting. These algorithms are proved by experiments that they can highly adapt to the broad dynamic range and non-linearity of IRFPA and are suitable for engineering applications with fast computing speed and high calibration precision.