微纳米尺度离焦图像恢复方法

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.

Defocused Image Restoration Method Based on Micro-nano Scale

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.