期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Anisotropic Total Variation Regularization Based NAS-RIF Blind Restoration Method for OCT Image 被引量:2
1
作者 Xuesong Fu Jianlin Wang +3 位作者 Zhixiong Hu Yongqi Guo Kepeng Qiu Rutong Wang 《Journal of Beijing Institute of Technology》 EI CAS 2020年第2期146-157,共12页
Based on anisotropic total variation regularization(ATVR), a nonnegativity and support constraints recursive inverse filtering(NAS-RIF) blind restoration method is proposed to enhance the quality of optical coherence ... Based on anisotropic total variation regularization(ATVR), a nonnegativity and support constraints recursive inverse filtering(NAS-RIF) blind restoration method is proposed to enhance the quality of optical coherence tomography(OCT) image. First, ATVR is introduced into the cost function of NAS-RIF to improve the noise robustness and retain the details in the image.Since the split Bregman iterative is used to optimize the ATVR based cost function, the ATVR based NAS-RIF blind restoration method is then constructed. Furthermore, combined with the geometric nonlinear diffusion filter and the Poisson-distribution-based minimum error thresholding, the ATVR based NAS-RIF blind restoration method is used to realize the blind OCT image restoration. The experimental results demonstrate that the ATVR based NAS-RIF blind restoration method can successfully retain the details in the OCT images. In addition, the signal-to-noise ratio of the blind restored OCT images can be improved, along with the noise robustness. 展开更多
关键词 optical coherence tomography(OCT)image blind image restoration cost function nonnegativity and support constraints recursive inverse filtering(NAS-RIF)
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部