论文标题
图像在声场显微镜中降解
Image denoising in acoustic field microscopy
论文作者
论文摘要
由于显微镜图像被广泛用于生物医学或材料研究，因此已使用扫描声显微镜（SAM）。声学成像是一种重要且完善的方法，用于非破坏性测试（NDT），生物医学成像和结构性健康监测。这些成像经常以低振幅的信号进行，这可能导致引领嘈杂的和缺乏图像信息的细节。在这项工作中，我们试图分析从低振幅信号中获取的SAM图像，并在时间域信号上使用块匹配过滤器来获得DeNocer的图像。我们已经将图像与在时间域信号上应用的常规过滤器进行了比较，例如高斯滤波器，中值滤波器，Wiener滤波器和总变化过滤器。著名的结果在本文中显示。
Scanning acoustic microscopy (SAM) has been employed since microscopic images are widely used for biomedical or materials research. Acoustic imaging is an important and well-established method used in nondestructive testing (NDT), bio-medical imaging, and structural health monitoring.The imaging is frequently carried out with signals of low amplitude, which might result in leading that are noisy and lacking in details of image information. In this work, we attempted to analyze SAM images acquired from low amplitude signals and employed a block matching filter over time domain signals to obtain a denoised image. We have compared the images with conventional filters applied over time domain signals, such as the gaussian filter, median filter, wiener filter, and total variation filter. The noted outcomes are shown in this article.
