|Background registration-based filtering for LWIR/MWIR imaging sensors|
IR cameras have noises such as dead pixels, lines, and fixed patterns. Non-uniformity correction (NUC), two-point correction (TPC) and scene-based NUC (SBNUC) are studied to reduce noise in IR images, However, these methods still suffer from unfixed(moving) pattern noise. In this paper, a background registration-based adaptive noise filtering (BRANF) method is proposed to overcome the limitations of conventional methods. The proposed BRANF method utilizes background registration processing and robust principle component analysis.
 Kim, Byeong, Min Kim, and You Chae. "Background registration-based adaptive noise filtering of LWIR/MWIR imaging sensors for UAV applications.“, Sensors, 18(1), 2018.