CAJ | 학술논문

现有二维非局部均值降噪算法仅能抑制三维图像的层内噪声,无法利用层间信息对图像进一步降噪.针对该问题,分析印刷电路板在锥形束CT系统中所成图像的自相似性,将现有二维算法扩展到三维空间,提出基于分块处理的三维非局部均值降噪算法.实验结果表明,该算法可进一步抑制噪声,具有较高的计算效率.
현유이유비국부균치강조산법부능억제삼유도상적층내조성,무법이용층간신식대도상진일보강조.침대해문제,분석인쇄전로판재추형속CT계통중소성도상적자상사성,장현유이유산법확전도삼유공간,제출기우분괴처리적삼유비국부균치강조산법.실험결과표명,해산법가진일보억제조성,구유교고적계산효솔.
Existing 2D non-local mean noise reduction algorithm can only suppress the noise inside the slice, it can not access the noise between slices. Aiming at this problem, this paper analyzes image self-similarity which is generated by Printed Circuit Board(PCB) in Cone Beam Computed Tomography(CBCT), extends existing 2D algorithm to 3D space, and proposes 3D non-local mean noise reduction algorithm based on partitioning processing. Experimental results show that this algorithm can further restrain noise, and it has higher computational efficiency.