Add to ORKGWe have compared and improved several implementations of the Wiener filter to remove noise effects from Scanning Tunneling Microscope images. We have found that the implementation of Weisman et al. [61, using the noise model of Stoll et al. 121, provides the best pelformance on both simulated and real STM images.
The usual way to present images from a scanning tunneling microscope (STM) is to take multiple image...
For more details on the code, please refer to the ReadMe file. Here you will find the description of...
Scanning electron microscopes are some of the most versatile tools for imaging materials with nanome...
Noise on scanning electron microscope (SEM) images is studied. Gaussian noise is the most common typ...
The use of Wiener filters to restore noisy HREM images is discussed, exploiting the fact that the no...
Journal ArticleNoise stemming from mechanical vibration, electronic noise, or low frequency (l / f p...
Noise reduction of micrographs is often an essential task in high resolution (scanning) transmission...
Abstract: In this paper, first, the performance of the Wiener filter in the frequency domain for ima...
In this paper, we propose to use the autoregressive (AR)-based interpolator with Wiener filter and a...
In recent years, the adaptive noise smoothing filter using local statistics, which is also referred ...
This paper basically represents how to deblurring images using a wiener filter [1]. Basically wiener...
In this paper, the quality performance of several filters in restoration of images corrupted with va...
A recently developed class of digital filters known as morphological pseudoconvolutions are adapted ...
International audienceModern digital technology has made it possible to manipulate multi-dimensional...
Super-resolution structured illumination microscopy (SIM) has become a widely used method for biolog...
The usual way to present images from a scanning tunneling microscope (STM) is to take multiple image...
For more details on the code, please refer to the ReadMe file. Here you will find the description of...
Scanning electron microscopes are some of the most versatile tools for imaging materials with nanome...
Noise on scanning electron microscope (SEM) images is studied. Gaussian noise is the most common typ...
The use of Wiener filters to restore noisy HREM images is discussed, exploiting the fact that the no...
Journal ArticleNoise stemming from mechanical vibration, electronic noise, or low frequency (l / f p...
Noise reduction of micrographs is often an essential task in high resolution (scanning) transmission...
Abstract: In this paper, first, the performance of the Wiener filter in the frequency domain for ima...
In this paper, we propose to use the autoregressive (AR)-based interpolator with Wiener filter and a...
In recent years, the adaptive noise smoothing filter using local statistics, which is also referred ...
This paper basically represents how to deblurring images using a wiener filter [1]. Basically wiener...
In this paper, the quality performance of several filters in restoration of images corrupted with va...
A recently developed class of digital filters known as morphological pseudoconvolutions are adapted ...
International audienceModern digital technology has made it possible to manipulate multi-dimensional...
Super-resolution structured illumination microscopy (SIM) has become a widely used method for biolog...
The usual way to present images from a scanning tunneling microscope (STM) is to take multiple image...
For more details on the code, please refer to the ReadMe file. Here you will find the description of...
Scanning electron microscopes are some of the most versatile tools for imaging materials with nanome...