English(EN) A BEMD-Based Quaternion Filtering Approach Sharp-to-Soft Kernel CT Image Conversion

新的BEMD-QBF方法通过在保留结构的同时降低噪声来提高CT图像质量

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-07 04:00

研究人员开发了一个名为BEMD-QBF的新框架，它使用双维经验模态分解和四元数双边滤波将锐核CT图像转换为软核外观。该方法旨在减少噪声，同时保留关键的解剖结构。使用各种重建核进行的评估以及与非局部均值和各向异性扩散等成熟滤波技术的比较表明，BEMD-QBF在结构保真度和有效的降噪方面表现优越。 AI

影响这项研究通过提高CT扫描质量，有望提高医学影像的诊断准确性。

排序理由该集群包含一篇详细介绍新图像处理方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Mahmoud Nasr, Jan K. Argasinski, Krzysztof Brzostowski, Adam Piorkowski · 2026-10-07 04:00

一种基于BEMD的四元数滤波方法用于CT图像的锐转软核转换

arXiv:2610.07071v1 Announce Type: new Abstract: The quality of computed tomography (CT) images is significantly affected by the selection of reconstruction kernels: sharp kernels improve spatial resolution but increase noise, whereas soft kernels diminish noise at the expense of …

本文如何被排名

报道来源 [1]

一种基于BEMD的四元数滤波方法用于CT图像的锐转软核转换

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