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Alternative TitleUncooled Infrared Stripe Noise Correction Algorithm Based on Multiscale Analysis and Weighted Least Squares
姜平1,2; 王恩德2; 金磊2; 齐凯2; 易春林1; 韩冰2
Source Publication光子学报
Contribution Rank1
Funding Organization装备预研领域基金(No.61404150302)
Keyword红外图像 非均匀校正 条纹噪声去除 加权最小二乘法 焦平面阵列
Other AbstractIn order to improve the quality of infrared images while maintaining texture information to a greater extent, a multi-scale analysis and weighted least squares method for stripe noise nonuniformity correction is proposed. The algorithm uses the weighted least squares method to smooth the image, applies the wavelet transform to extract the vertical component of the smooth image which is replaced with the vertical component of the original image subsequently, and reconstructs the corrected image by wavelet reconstruction. The proposed algorithm can accurately remove infrared noise without causing more troublesome "ghosting" problems. The proposed algorithm is experimented on multiple sets of different infrared image data, and compared with the state-of-the-art destriping algorithms. The results show that the proposed algorithm has better visual effects and image quality evaluation parameters.
Document Type期刊论文
Corresponding Author姜平
Recommended Citation
GB/T 7714
姜平,王恩德,金磊,等. 基于多尺度分析和加权最小二乘法的非制冷红外条纹噪声校正算法[J]. 光子学报,2019:1-11.
APA 姜平,王恩德,金磊,齐凯,易春林,&韩冰.(2019).基于多尺度分析和加权最小二乘法的非制冷红外条纹噪声校正算法.光子学报,1-11.
MLA 姜平,et al."基于多尺度分析和加权最小二乘法的非制冷红外条纹噪声校正算法".光子学报 (2019):1-11.
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