A scene-based algorithm is developed to compensate for bias nonuniformity in focal-plane arrays. Nonuniformity can be extremely problematic, especially for mid- to far-infrared imaging systems. The technique is based on use of estimates of interframe subpixel shifts in an image sequence, in conjunction with a linear-interpolation model for the motion, to extract information on the bias nonuniformity algebraically. The performance of the proposed algorithm is analyzed by using real infrared and simulated data. One advantage of this technique is its simplicity; it requires relatively few frames to generate an effective correction matrix, thereby permitting the execution of frequent on-the-fly nonuniformity correction as drift occurs. Additionally, the performance is shown to exhibit considerable robustness with respect to lack of the common types of temporal and spatial irradiance diversity that are typically required by statistical scene-based nonuniformity correction techniques.
© 2002 Optical Society of America
(100.2000) Image processing : Digital image processing
(100.2550) Image processing : Focal-plane-array image processors
(100.3020) Image processing : Image reconstruction-restoration
(110.3080) Imaging systems : Infrared imaging
(110.4280) Imaging systems : Noise in imaging systems
Bradley M. Ratliff, Majeed M. Hayat, and Russell C. Hardie, "An algebraic algorithm for nonuniformity correction in focal-plane arrays," J. Opt. Soc. Am. A 19, 1737-1747 (2002)