Non-Uniformity Noise Simulation for Infrared Images

This simulation generates non-uniformity noise in infrared images based on the principles of infrared image non-uniformity. The implementation typically involves creating a fixed-pattern noise model that accounts for pixel-to-pixel variations in detector response, which is a characteristic phenomenon in infrared imaging systems. Through simulating non-uniformity phenomena in infrared images, we can better understand the unique characteristics and performance metrics of infrared imaging technology. This simulation technique assists in researching and optimizing infrared image processing algorithms, ultimately improving image quality and reliability. The code implementation may include functions for generating Gaussian or polynomial-based non-uniformity patterns, applying gain and offset variations across the image sensor array, and modeling temperature-dependent noise characteristics. By simulating non-uniformity noise, we can also test the robustness and stability of infrared image processing systems, enabling better performance and effectiveness in practical applications through comprehensive algorithm validation and system calibration procedures.