红外技术2026，Vol.48Issue(5)：579-588,10.
短波红外图像非均匀性条纹噪声校正算法
Correction Algorithm of Non-uniform Stripe Noise in Short-wave Infrared Images
摘要
Abstract
The physical limitations of detector systems cause stripe non-uniformity in scanning infrared imaging,severely degrading the image quality through stripe noise.However,existing non-uniformity correction algorithms struggle to balance noise suppression,detail preservation,and real-time performance,thereby limiting their use in spectral imaging and signal processing.To address the challenge of stripe noise,we propose an innovative wavelet-transform-based method to minimize the fractional total variational function.Based on the wavelet transform,the pixel neighborhood gradient serves as an adaptive parameter of the entire algorithm.By leveraging the relationship between stripe noise characteristics and wavelet sub-band coefficients,the proposed method efficiently removes stripe noise while accurately reconstructing image details with low computational cost.Comprehensive experiments on authentic data demonstrate that the proposed method outperforms several existing classical algorithms in both quantitative and qualitative evaluations.关键词
红外图像/非均匀性校正/小波变换/邻域自适应全变分Key words
infrared image/nonuniformity correction/wavelet transform/neighborhood adaptive total variation分类
信息技术与安全科学引用本文复制引用
向平湖,孙德新,梁建,柴孟阳,陈元平..短波红外图像非均匀性条纹噪声校正算法[J].红外技术,2026,48(5):579-588,10.基金项目
中国科学院青年创新促进会项目(2023246). （2023246）
