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一种OCT图像去噪的原始-对偶算法 被引量:1
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作者 李济舟 杨余飞 +2 位作者 王立科 郑永平 周永进 《集成技术》 2012年第2期61-64,共4页
本文针对OCT图像噪声的特点,考虑一般的鞍点结构,提出一种原始-对偶算法,对OCT图像进行降噪处理。在对散斑噪声模型取对数处理之后,结合加性噪声的特点,采用原始-对偶结构提出算法,运算较为简单,容易编程实现,文中实验与均值滤波、半软... 本文针对OCT图像噪声的特点,考虑一般的鞍点结构,提出一种原始-对偶算法,对OCT图像进行降噪处理。在对散斑噪声模型取对数处理之后,结合加性噪声的特点,采用原始-对偶结构提出算法,运算较为简单,容易编程实现,文中实验与均值滤波、半软阈值方法进行比较,结果表明,该算法在有效去除噪声的同时较好地保留了OCT图像中的重要细节信息,使图像的细节部分清晰。该算法可有效地去除OCT图像散斑噪声,提高图像的质量,同时文章建立的一般模型可推广到图像分割、目标识别和运动估计等图像处理领域。 展开更多
关键词 OCT图像去噪 凸优化 原始-对偶算法 散斑噪声
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Compression of Battery X-Ray Tomography Data with Machine Learning
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作者 Zipei Yan Qiyu Wang +2 位作者 Xiqian Yu Jizhou Li Michael K.-P.Ng 《Chinese Physics Letters》 SCIE EI CAS CSCD 2024年第9期153-158,共6页
With the increasing demand for high-resolution x-ray tomography in battery characterization,the challenges of storing,transmitting,and analyzing substantial imaging data necessitate more efficient solutions.Traditiona... With the increasing demand for high-resolution x-ray tomography in battery characterization,the challenges of storing,transmitting,and analyzing substantial imaging data necessitate more efficient solutions.Traditional data compression methods struggle to balance reduction ratio and image quality,often failing to preserve critical details for accurate analysis.This study proposes a machine learning-assisted compression method tailored for battery x-ray imaging data.Leveraging physics-informed representation learning,our approach significantly reduces file sizes without sacrificing meaningful information.We validate the method on typical battery materials and different x-ray imaging techniques,demonstrating its effectiveness in preserving structural and chemical details.Experimental results show an up-to-95 compression ratio while maintaining high fidelity in the projection and reconstructed images.The proposed framework provides a promising solution for managing large-scale battery x-ray imaging datasets,facilitating significant advancements in battery research and development. 展开更多
关键词 BATTERY BATTERY DETAILS
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