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Diffusion models have achieved cutting-edge performance in image generation. However, their lengthy denoising process and computationally intensive score estimation network impede their scalability in low-latency and resource-constrained…

Computer Vision and Pattern Recognition · Computer Science 2025-03-05 Qian Zeng , Jie Song , Han Zheng , Hao Jiang , Mingli Song

There is an important need for methods to process myocardial perfusion imaging (MPI) SPECT images acquired at lower radiation dose and/or acquisition time such that the processed images improve observer performance on the clinical task of…

Among smart materials, piezoelectric materials occupy a very prominent position for sensing and actuation functions. Combined with simple or more advanced shunts, they are also proposed in various vibration mitigation schemes. However, the…

Applied Physics · Physics 2026-04-28 Bart Van Damme , Alexandre Brun d'Arre , Patrick Danner , Dorina Opris , Andrea Bergamini

Cryo-electron microscopy (cryo-EM) has achieved near-atomic level resolution of biomolecules by reconstructing 2D micrographs. However, the resolution and accuracy of the reconstructed particles are significantly reduced due to the…

Computer Vision and Pattern Recognition · Computer Science 2024-01-03 Jing Zhang , Tengfei Zhao , ShiYu Hu , Xin Zhao

Self-sensing conductive composites can reveal deformation and damage through measurable changes in electrical resistance, which makes them attractive for embedded diagnostics and learning-enabled structural health monitoring. This paper…

Computational Physics · Physics 2026-04-07 Aamir Dean , Betim Bahtiri

In clinical examinations and diagnoses, low-dose computed tomography (LDCT) is crucial for minimizing health risks compared with normal-dose computed tomography (NDCT). However, reducing the radiation dose compromises the signal-to-noise…

Image and Video Processing · Electrical Eng. & Systems 2024-07-02 Haoyu Zhao , Yuliang Gu , Zhou Zhao , Bo Du , Yongchao Xu , Rui Yu

Imaging polarimetry allows more information to be extracted from a scene than conventional intensity or colour imaging. However, a major challenge of imaging polarimetry is image degradation due to noise. This paper investigates the…

Computer Vision and Pattern Recognition · Computer Science 2018-05-09 Alexander B. Tibbs , Ilse M. Daly , Nicholas W. Roberts , David R. Bull

Endoscopes featuring a miniaturized design have significantly enhanced operational flexibility, portability, and diagnostic capability while substantially reducing the invasiveness of medical procedures. Recently, single-use endoscopes…

Image and Video Processing · Electrical Eng. & Systems 2025-06-19 Yu Xing , Shishi Huang , Meng Lv , Guo Chen , Huailiang Wang , Lingzhi Sui

In this paper, a wideband and low-scattering metasurface in terahertz (THz) is introduced. The proposed coding metasurface is composed of four different graphene square patches in one layer, which has a distinct bias voltage. By optimizing…

Applied Physics · Physics 2020-01-28 Kasra Rouhi , Ali Abdolali , Susan Fallah

Photoacoustic imaging systems offer a platform with high resolution to explore body tissues, food, and artwork. On the other hand, plasmonics constitutes a source of resonant heating and thermal expansion to generate acoustic waves.…

Applied Physics · Physics 2022-08-29 Ricardo Martín Abraham-Ekeroth

ProtoEXIST2 (P2) was a prototype imaging X-ray detector plane developed for wide-field Time Domain Astrophysics (TDA) in the 5 - 200 keV energy band. It was composed of an 8 $\times$ 8 array of 5 mm thick, 2cm $\times$ 2cm pixelated (32…

Instrumentation and Methods for Astrophysics · Physics 2023-03-28 Arkadip Basak , Branden Allen , Jaesub Hong , Daniel P. Violette , Jonathan Grindlay

We present a method for supervised learning of sparsity-promoting regularizers for denoising signals and images. Sparsity-promoting regularization is a key ingredient in solving modern signal reconstruction problems; however, the operators…

Machine Learning · Computer Science 2023-09-07 Avrajit Ghosh , Michael T. McCann , Madeline Mitchell , Saiprasad Ravishankar

Thermoelectric materials with a high figure of merit (ZT) are highly demanded for a sustainable solution to the energy crisis. In this study, we have predicted three new double perovskite oxides (DPOs), Ba2GaXO6 (X = V, Nb, Ta), with high…

Materials Science · Physics 2025-11-04 S. S. Saif , M. M. Hossain , M. A. Ali

Substitutional transition metal (TM) point defects have recently been controllably introduced in two-dimensional (2D) transition metal dichalcogenides. We identify quantum defect candidates through a first-principles materials discovery…

Materials Science · Physics 2025-10-13 Jingda Zhang , Su Ying Quek

A stress is applied at the flat face and the apex of a prismatic piezoelectric crystal. The voltage generated at these points differs in order of magnitude. The result may be used to nondestructively test the uniformity of surfaces of…

Instrumentation and Detectors · Physics 2017-08-22 Chandrima Chatterjee

Image denoising is a fundamental problem in computer vision and medical imaging. However, real-world images are often degraded by structured noise with strong anisotropic correlations that existing methods struggle to remove. Most…

Image and Video Processing · Electrical Eng. & Systems 2025-10-03 Jianxu Wang , Ge Wang

In this paper, we propose a new method for impulse noise removal from images. It uses the sparsity of images in the Discrete Cosine Transform (DCT) domain. The zeros in this domain give us the exact mathematical equation to reconstruct the…

Computer Vision and Pattern Recognition · Computer Science 2008-12-16 Hadi. Zayyani , Seyyedmajid Valiollahzadeh , Massoud. Babaie-Zadeh

This research is on the nonlinear dynamics of a two-sided electrostatically actuated capacitive micro-beam. The microresonator is composed of silicon and PZT as a piezoelectric material. PZT is functionally distributed along the height of…

Mesoscale and Nanoscale Physics · Physics 2016-11-15 Meysam T. Chorsi , Saber Azizi , Firooz Bakhtiari-Nejad

Dual-energy X-ray Computed Tomography (DECT) constitutes an advanced technology which enables automatic decomposition of materials in clinical images without manual segmentation using the dependency of the X-ray linear attenuation with…

Image and Video Processing · Electrical Eng. & Systems 2025-07-25 Hang Xu , Alexandre Bousse , Alessandro Perelli

The recently developed information-theoretic approach to crystallographic symmetry classifications and quantifications in two dimensions (2D) from digital transmission electron and scanning probe microscope images is adapted for the…

Materials Science · Physics 2022-08-10 Peter Moeck , Lukas von Koch