Space low-pass and temporal high-pass nonuniformity correction algorithm

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

来源：Optical Review, 2010, 17(1): 24-29.

DOI：10.1007/s10043-010-0005-8

• scene-based nonuniformity correction
• ghosting artifacts
• temporal high-pass
• space low-pass
• convergence speed

Nowadays, almost all scene-based nonuniformity correction (NUC) algorithms have the same shortcoming: a low convergence speed. This shortcoming produces ghosting artifacts. In this paper, we will start by discussing the traditional temporal high-pass NUC algorithm, and then combine the space frequency and temporal frequency. This combination will produce a new algorithm called the space low-pass and temporal high-pass NUC algorithm. The kernel idea of this algorithm is to eliminate the nonuniformity's high-space-frequency part and retain the nonuniformity's low-space-frequency part. Moreover, the high-space-frequency part's processing is controllable, which markedly increases convergence speed. These features make our algorithm's convergence speed so high that processed images have almost no ghosting artifacts.

• 出版日期2010-1
• 单位南京理工大学