Single infrared stripe nonuniformity correction algorithm based on adaptive diffusion models

In order to correct the stripe nonuniformity for infrared images captured by infraed focal plane array(IRFPA), a novel stripe nonuniformity correction algorithm based on adaptive PM diffusion models for single infrared image is adopted.Firstly, the adaptive diffusion threshold of PM model is calculated by gradient information and local gray level statistics of infrared images.Then, the estimate values of each column pixel are treated as expectations, which are in constraint of PM models.Finally, correction parameters in iteration are obtained by method of steepest descent, and the image is corrected repeatedly to improve correction performance.Experimental results indicate that the adopted algorithm can preserve edge information.Compared with other four algorithms, the proposed algorithm has advantage of reducing stripe nonuniformity and removing ghosting artifact.