Calculating Two-Point Correction Coefficients in Infrared Imaging Systems

Resource Overview

This engineering simulation program computes commonly used two-point correction coefficients in infrared images using 16 high-low temperature reference images. The implementation demonstrates practical calibration methodologies with temperature-dependent pixel response normalization algorithms.

Detailed Documentation

In practical engineering applications, we routinely utilize 16 reference images captured at high and low temperature points to calculate two-point correction coefficients for infrared image calibration. This simulation program provides both functional implementation and detailed conceptual explanations of the underlying infrared image processing principles. The algorithm typically involves establishing linear correction models based on pixel response values at two known temperature points, followed by spatial uniformity correction across the entire sensor array. Through this program, engineers can gain deeper insights into infrared image processing methodologies, ultimately delivering more accurate and reliable results in real-world engineering deployments. The core functionality includes temperature-point extraction, coefficient matrix calculation, and pixel-wise correction mapping using reference data from calibrated blackbody sources.