Infrared Image Enhancement using Recursive Weighted Least Squares Algorithm based pixel mapping for Surveillance Applications

In this paper, an algorithmic approach is presented that utilizes the system modeling approach to map the infrared (IR) pixel space to real optical space. This mapping has been performed using the parametric approach with Recursive Weighted Least Squares (RWLS) estimation algorithm. Using the autoregressive (ARX) model structure, the image pixels are mapped from the IR pixel space into normal optical image space, thus enhancing the IR image for improved visual quality.