Ghosting reduction in scene-based nonuniformity correction of infrared image sequences

• 来源期刊: 中国光学快报(英文版)
• 学科: 工学
• 关键词: 非均匀性校正 红外图像序列 场景 鬼影 红外成像系统 基础理论 校正参数 简算法
• 年，卷（期）: 2010,（12）
• 所属期刊栏目: Detectors
• 页码范围: 1113-1116
• 页数: 4页
• 分类号: TN215 TS871.1
• 语种: 英文

摘要

Scene-based adaptive nonuniformity correction (NUC) is currently being applied to achieve higher performance in infrared imaging systems. However, almost all scene-based NUC algorithms cause the production of ghosting artifacts over output images. Based on constant-statistics theory, we propose a novel threshold self-adaptive ghosting reduction algorithm to improve the space low-pass and temporal high-pass (SLP- THP) NUC technique. The correction parameters of the previous frame are regarded as thresholds to compute new correction parameters. Experimental results show that the proposed algorithm can obtain a satisfactory performance in reducing unwanted ghosting artifacts.