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机构地区:[1]西安电子科技大学技术物理学院,西安710071
出 处:《光子学报》2009年第8期2135-2138,共4页Acta Photonica Sinica
基 金:国家自然科学基金(60377034)资助
摘 要:在分析固定图案噪音频率分布的基础上,提出了一种利用平稳小波进行非均匀性校正的方法.选择合适的小波函数对红外图像序列进行分解,从而估计出非均匀性校正的增益和偏置系数,最终实现红外焦平面阵列的非均匀性校正.利用小波的多分辨性质,提高了低频部分的频率分辨率,有效的抑制了一般基于场景统计校正算法中易于出现的"人工鬼影"现象.用真实的红外图像序列进行了处理,实验证明了算法的优越性.Based on the analysis of fixed pattern noise on the basis of frequency distribution, a correction method using stationary wavelet was proposed. The infrared image sequence was decomposed by a proper wavelet function, thereby the gain and offset coefficients were estimated and eventually the infrared focal plane array nonuniformity correction was realized. The resolution of lowfrequency part was improved by the virtue of the wavelet with its multiresolution properties, so the “artificial ghost” phenomenon which appears in some scenebased NUC algorithm was restrained. Experiments on real infrared image sequence prove the superiority of the algorithm, and have achieved satisfactory results.
关 键 词:成像系统 红外焦平面阵列 红外非均匀性校正 平稳小波变换
分 类 号:TN215[电子电信—物理电子学]
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