Non-uniformity Correction Algorithm Based on Polynomial Fit Estimation

Because of many advantages such as all-weather work, passive imaging, high sensitivity, high frame frequency and simple structure, etc., IRFPA (infrared focal plane array) sensors have become popular in civil and military applications. However, images obtained by IRFPA suffer from a common problem called FPN (fixed pattern noise), which severely degrades image quality and limits the infrared imaging applications, and they can hardly be used without non-uniformity correction (NUC) on IR image. Therefore, it is urged to perform the NUC processing. As we all know, the algorithms of non-uniformity correction can be classified into two main categories, the calibration-based algorithm and the scene-based algorithm. But each kind of algorithm has its disadvantages, in order to make up for the limitations, a novel non-uniformity correction algorithm based on polynomial fit estimation and a modified factor is proposed, which combines the advantages of the two algorithms. Experimental results demonstrate that the proposed NUC algorithm has a good NUC effect with a lower non-uniformity ratio.