微纳米尺度离焦图像恢复方法  

Defocused Image Restoration Method Based on Micro-nano Scale

作　　者：刘永俊[1,2] 伍秋玉 张明新 王义[2] LIU Yongjun;WU Qiuyu;ZHANG Mingxin;WANG Yi(School of Computer Science and Engineering,Changshu Institute of Technology,Changshu 215500;School of Computer Science and Engineering,Northeastern University,Shenyang 110819,China)

机构地区：[1]常熟理工学院计算机科学与工程学院,江苏常熟215500 [2]东北大学计算机科学与工程学院,辽宁沈阳110819

出　　处：《常熟理工学院学报》2020年第2期24-29,共6页Journal of Changshu Institute of Technology

基　　金：教育部赛尔网络下一代互联网技术创新项目“基于IPv6的急危重症智慧医疗云平台”(NGII20170709)。

摘　　要：提出一种基于NSCT的图像自适应降噪增强算法,对显微镜下获得的离焦图像进行图像恢复预处理.微纳米尺度光学显微镜下采集的离焦图像,通常细节、边缘和轮廓都不清晰,会影响到后续观测任务的精确度.NSCT变换由于多尺度和多方向性,拥有优越的变换功能,可以获得图像更多的纹理和边缘.结合微纳米尺度光学离焦图像的特点,对所有子带进行NSCT逆变换重新构建图像.最后通过对标准500 nm尺度栅格、导电探针和三角探针的实验结果表明,使用本文算法的图像效果更好,有效改善了离焦图像的质量.An image adaptive noise reduction enhancement algorithm based on NSCT is proposed to perform image restoration preprocessing on the defocused image obtained under the microscope.Defocused images acquired under micro-nano scale optical microscopy,usually with inconspicuous details,edges and contours,affect the accuracy of subsequent observation tasks.Due to its multi-scale and multi-directionality,the NSCT transform has superior transform functions and can obtain more textures and edges of images.Combined with the characteristics of micro-nanoscale optical defocus images,the NSCT inverse transform is performed on all sub-bands to reconstruct the image.Finally,the experimental results of the standard 500nm scale grid,conductive probe and triangular probe show that the proposed algorithm has a better image enhancement effect and significantly improves the quality of out-of-focus images.

关 键 词：微纳米尺度 离焦图像 NSCT 图像恢复 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]