Infrared imagery appears superficially similar to monochrome television imagery. An accurate simulation, however, must not only produce realistic images of self-luminous objects--rather than illuminated scenery--it must also replicate the visual anomalies of the imaging system. These anomalous effects arise from the imperfect nature of infrared imagers; they vary among systems, and they can become the dominant visual aspect of the displayed imagery. A strategy has been developed for producing high-fidelity simulated IR imagery in real time. The approach relies upon modeling techniques, which can create a database of infrared scenery derived from visual data, and upon a post-processor coupled to an existing image generator (IG), which will produce IR system-specific effects. A software emulation of the post-processor (PP) has been developed which permits evaluation of its projected performance, as well as facilitating tuning of system parameters in order to achieve realistic IR imagery. To complement these developments in high-fidelity IR simulation, a set of software tools has been developed to afford an efficient means of generating IR-specific characteristics for inclusion in the IG database. These tools blend the physics of the scene, atmosphere, and sensor with the requirements of the mission to be simulated and the 1G system to be used.