Adaptive convergence nonuniformity correction algorithm

作者：Qian Weixian^*; Chen Qian; Bai Junqi; Gu Guohua

来源：Applied Optics, 2011, 50(1): 1-10.

DOI：10.1364/AO.50.000001

Nowadays, convergence and ghosting artifacts are common problems in scene-based nonuniformity correction (NUC) algorithms. In this study, we introduce the idea of space frequency to the scene-based NUC. Then the convergence speed factor is presented, which can adaptively change the convergence speed by a change of the scene dynamic range. In fact, the convergence speed factor role is to decrease the statistical data standard deviation. The nonuniformity space relativity characteristic was summarized by plenty of experimental statistical data. The space relativity characteristic was used to correct the convergence speed factor, which can make it more stable. Finally, real and simulated infrared image sequences were applied to demonstrate the positive effect of our algorithm.

• 出版日期2011-1-1
• 单位南京理工大学