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Electron microscopy is a powerful tool for visualizing the shapes of sub-nanometer objects. However, contrast is not in proportional to density distribution, and therefore achieving a quantitative understanding of specimens is not…

Instrumentation and Detectors · Physics 2020-05-14 Masato Tomita , Yukinori Nagatani , Kazuyoshi Murata , Atsushi Momose

Compared with adjacent microwaves and infrared frequencies, terahertz (THz) frequency offers numerous advantages for imaging applications. The unique THz spectral signatures of chemicals allow the development of THz imaging systems for…

Superconductivity · Physics 2026-04-08 Manabu Tsujimoto , Kaveh Delfanazari , Takanari Kashiwagi , Toshiaki Hattori , Kazuo Kadowaki

Image denoising is one of the preliminary steps in image processing methods in which the presence of noise can deteriorate the image quality. To overcome this limitation, in this paper a improved two-stage fuzzy filter is proposed for…

Computer Vision and Pattern Recognition · Computer Science 2020-08-11 Vikas Singh , Pooja Agrawal , Teena Sharma , Nishchal K. Verma

In this work, we investigate $CO_{2}$ activation on ZnS using Near Ambient-Pressure X-ray photoelectron spectroscopy measurements (NAP-XPS) and density functional theory calculations (DFT). Our NAP-XPS experiments reveal that $CO_{2}$…

Materials Science · Physics 2026-01-21 P. R. A de Oliveira , P. Venezuela , F. Stavale , J. A. Boscoboinik

Many self-supervised denoising approaches have been proposed in recent years. However, these methods tend to overly smooth images, resulting in the loss of fine structures that are essential for medical applications. In this paper, we…

Image and Video Processing · Electrical Eng. & Systems 2025-04-02 Basar Demir , Yikang Liu , Xiao Chen , Eric Z. Chen , Lin Zhao , Boris Mailhe , Terrence Chen , Shanhui Sun

The investigation of paramagnetic species (such as point defects, dopants, and impurities) in solid-state electronic devices is significant because of their effect on device performance. Conventionally, these species are detected and imaged…

Materials Science · Physics 2015-05-20 Itai Katz , Matthias Fehr , Alexander Schnegg , Klaus Lips , Aharon Blank

With the advancement in image editing tools, manipulating digital images has become alarmingly easy. Inpainting, which is used to remove objects or fill in parts of an image, serves as a powerful tool for both image restoration and forgery.…

Computer Vision and Pattern Recognition · Computer Science 2024-08-14 Barglazan Adrian-Alin , Brad Remus Ovidiu

Image denoising can be described as the problem of mapping from a noisy image to a noise-free image. In another paper, we show that multi-layer perceptrons can achieve outstanding image denoising performance for various types of noise…

Computer Vision and Pattern Recognition · Computer Science 2012-11-08 Harold Christopher Burger , Christian J. Schuler , Stefan Harmeling

We describe and demonstrate a method by which the nonlinear piezoelectric properties of a piezoelectric material may be measured by detecting the force that it applies on a suspended micromechanical resonator at one of its mechanical…

Applied Physics · Physics 2018-05-25 Joseph A. Boales , Shyamsunder Erramilli , Pritiraj Mohanty

Platinum diselenide (PtSe${_2}$) is a two-dimensional (2D) material with outstanding electronic and piezoresistive properties. The material can be grown at low temperatures in a scalable manner which makes it extremely appealing for many…

Quantum noise has long served as a powerful probe of quantum transport in mesoscopic junctions. Recently, temperature-driven noise, or $\Delta_T$ noise, has attracted growing interest due to its presence even in the absence of average…

Superconductivity · Physics 2026-05-27 Sachiraj Mishra , A Rajmohan Dora , Colin Benjamin

Texture analysis plays an important role in many image processing applications to describe the image content or objects. On the other hand, visual surface defect detection is a highly research field in the computer vision. Surface defect…

Computer Vision and Pattern Recognition · Computer Science 2019-06-28 Shervan Fekri-Ershad

This paper develops a new mathematical framework for denoising in blind two-dimensional (2D) super-resolution upon using the atomic norm. The framework denoises a signal that consists of a weighted sum of an unknown number of time-delayed…

Information Theory · Computer Science 2023-07-19 Mohamed A. Suliman , Wei Dai

Quantum noise spectroscopy is a well-known method for detecting environmental noise spectrum and has various applications in quantum sensing, quantum network design, and quantum computing. In this work, a protocol for quantum noise…

Quantum Physics · Physics 2025-02-20 Clara Javaherian , Chris Ferrie

Computed tomography (CT) has been used worldwide as a non-invasive test to assist in diagnosis. However, the ionizing nature of X-ray exposure raises concerns about potential health risks such as cancer. The desire for lower radiation doses…

Image and Video Processing · Electrical Eng. & Systems 2024-07-01 Yucheng Lu , Zhixin Xu , Moon Hyung Choi , Jimin Kim , Seung-Won Jung

In astronomical imaging, the low photon count of exposures necessitates extensive post-processing steps, including contamination removal and denoising. This paper evaluates deep-learning denoising methods that can be trained without clean…

Instrumentation and Methods for Astrophysics · Physics 2026-04-21 Omid Vaheb , Sebastien Fabbro , Stark Draper

Continuous structural health monitoring (SHM) and integrated nondestructive evaluation (NDE) are important for ensuring the safe operation of high-risk engineering structures. Recently, piezoresistive nanocomposite materials have received…

Image and Video Processing · Electrical Eng. & Systems 2020-10-06 Lang Zhao , Tyler Tallman , Guang Lin

We utilize classical molecular dynamics to study surface effects on the piezoelectric properties of ZnO nanowires as calculated under uniaxial loading. An important point to our work is that we have utilized two types of surface treatments,…

Materials Science · Physics 2012-10-24 Shuangxing Dai , Harold S. Park

Sensitive nanoscale magnetic resonance imaging (MRI) of target spins using nitrogen-vacancy (NV) centers in diamond will require a quantitative understanding of dominant noise at the surface. We probe this noise by applying dynamical…

Mesoscale and Nanoscale Physics · Physics 2014-07-11 Bryan A. Myers , Matthieu C. Dartiailh , Kenichi Ohno , Ananda Das , David D. Awschalom , Ania C. Bleszynski Jayich

Point cloud source data for surface reconstruction is usually contaminated with noise and outliers. To overcome this deficiency, a density-based point cloud denoising method is presented to remove outliers and noisy points. First,…

Computer Vision and Pattern Recognition · Computer Science 2016-02-18 Faisal Zaman , Ya Ping Wong , Boon Yian Ng
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