Abstract

A statistical technique for adaptive nonuniformity correction of infrared image sequences has been developed. The method, which relies on our previously developed constant range nonuniformity correction method, estimates the nonuniformity parameters using two recursive estimation techniques. The method selects an estimation algorithm using a decision rule based on a threshold value computed from the collected infrared images. The strength of the method lies in its simplicity, low computational complexity, and its good trade-off between nonuniformity correction and ghosting artifacts reduction. The ability of the enhanced constant range technique to compensate for nonuniformity noise is demonstrated by using video sequences of infrared imagery with both real and synthetic nonuniformity. © Springer-Verlag 2004.