强激光与粒子束2024，Vol.36Issue(10)：61-68,8.DOI:10.11884/HPLPB202436.240217
用于闪光图像消噪的改进BM3D方法
Improved BM3D method for flash X-ray radiograph denoising
摘要
Abstract
Gaussian noise is the main noise in flash X-ray radiographs,which will be magnified in the subsequent density inversion and other processing,and seriously affect the results of density reconstruction and object boundary extraction.Therefore,eliminating Gaussian noise is the key content of flash X-ray radiograph denoising research.According to the characteristics of image noise in flash X-ray radiographs and the rotational symmetry of object axes,this paper studies the denoising algorithm of flash X-ray radiographs based on BM3D(Block Matching and 3D Filtering).To overcome the defect that it is difficult to obtain high-quality similar blocks in flash X-ray radiographs,the image sources for providing similar blocks are increased by rotating and mirroring the noisy degraded images without destroying the noise independence.At the same time,by introducing grayscale transformation of image blocks,the grayscale value requirements in the original similarity requirements are reduced,the shape similarity requirements are improved,and the ability to obtain high-quality similar blocks is increased.Image denoising results show that the improved BM3D method in this paper achieves better denoising effect because the quality of similar blocks is guaranteed.关键词
闪光图像/高斯噪声/BM3D/消噪Key words
flash X-ray radiograph/Gaussian noise/BM3D/denoising分类
信息技术与安全科学引用本文复制引用
危才华,唐志鹏,景越峰,管永红,刘进..用于闪光图像消噪的改进BM3D方法[J].强激光与粒子束,2024,36(10):61-68,8.基金项目
冲击波物理与爆轰波物理重点实验室基金项目(JCKY202212005) （JCKY202212005）
