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Dynamic Mode Decomposition (DMD) is a data-driven decomposition technique extracting spatio-temporal patterns of time-dependent phenomena. In this paper, we perform a comprehensive theoretical analysis of various variants of DMD. We provide…

Numerical Analysis · Mathematics 2022-02-15 Tim Krake , Daniel Weiskopf , Bernhard Eberhardt

A procedure is described for storing a 2D pattern consisting of 32x32 = 1024 bits in a spin state of a molecular system and then retrieving the stored information as a stack of NMR spectra. The system used is a nematic liquid crystal, the…

Quantum Physics · Physics 2007-05-23 Anatoly K. Khitrin , Vladimir L. Ermakov , B. M. Fung

Beam halo is an important factor in any high intensity accelerator. It can cause difficulties in the control of the beam, emittance growth, particle loss and even damage to the accelerator. It is therefore essential to understand the…

Accelerator Physics · Physics 2015-06-04 H. D. Zhang , R. B. Fiorito , A. G. Shkvarunets , R. A. Kishek , C. P. Welsch

We propose a method of complex-amplitude Fourier single-pixel imaging (CFSI) with coherent structured illumination to acquire both the amplitude and phase of an object. In the proposed method, an object is illustrated by a series of…

Enhancing low-light images while maintaining natural colors is a challenging problem due to camera processing variations and limited access to photos with ground-truth lighting conditions. The latter is a crucial factor for supervised…

Computer Vision and Pattern Recognition · Computer Science 2023-10-17 Wojciech Kozłowski , Michał Szachniewicz , Michał Stypułkowski , Maciej Zięba

This paper considers a compressive multi-spectral light field camera model that utilizes a one-hot spectralcoded mask and a microlens array to capture spatial, angular, and spectral information using a single monochrome sensor. We propose a…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Wen Cao , Ehsan Miandji , Jonas Unger

Image super-resolution (SR) has attracted increasing attention due to its wide applications. However, current SR methods generally suffer from over-smoothing and artifacts, and most work only with fixed magnifications. This paper introduces…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Sicheng Gao , Xuhui Liu , Bohan Zeng , Sheng Xu , Yanjing Li , Xiaoyan Luo , Jianzhuang Liu , Xiantong Zhen , Baochang Zhang

This paper proposes a non-computational method of counteracting the effect of image degradation introduced by the diffraction phenomenon in lensless microscopy. All the optical images (whether focused by lenses or not) are diffraction…

Optics · Physics 2021-04-08 Sanjeev Kumar , Manjunatha Mahadevappa , Pranab Kumar Dutta

We present a maskless microscope projection lithography system (MPLS), in which photomasks have been replaced by a Digital Micromirror Device type spatial light modulator (DMD, Texas Instruments). Employing video projector technology high…

Quantitative Methods · Quantitative Biology 2009-11-13 Thomas Naiser , Timo Mai , Wolfgang Michel , Albrecht Ott

Snapshot hyperspectral imaging systems acquire spectral data cubes through compressed sensing. Recently, diffractive snapshot spectral imaging (DSSI) methods have attracted significant attention. While various optical designs and…

Image and Video Processing · Electrical Eng. & Systems 2025-07-08 Zhengyue Zhuge , Jiahui Xu , Shiqi Chen , Hao Xu , Yueting Chen , Zhihai Xu , Huajun Feng

In this paper, we address the problem of dynamic scene deblurring in the presence of motion blur. Restoration of images affected by severe blur necessitates a network design with a large receptive field, which existing networks attempt to…

Computer Vision and Pattern Recognition · Computer Science 2022-02-08 Kuldeep Purohit , A. N. Rajagopalan

We present a differentiable framework to adaptively compute 4D illumination conditions with respect to an object, for efficient, high-quality simultaneous acquisition of its shape and reflectance, with a unified spatial-angular structured…

Computer Vision and Pattern Recognition · Computer Science 2026-05-08 Huakeng Ding , Yaowen Chen , Kun Zhou , Hongzhi Wu

Asymmetric Dark Matter (ADM) models invoke a particle-antiparticle asymmetry, similar to the one observed in the Baryon sector, to account for the Dark Matter (DM) abundance. Both asymmetries are usually generated by the same mechanism and…

High Energy Physics - Phenomenology · Physics 2015-06-04 Mattias Blennow , Enrique Fernandez-Martinez , Olga Mena , Javier Redondo , Paolo Serra

We theoretically implement some hyperparallel optical elements, including quantum single photon transistor, router, and dynamic random access memory (DRAM). The inevitable side leakage and the imperfect birefringence of the quantum dot…

Quantum Physics · Physics 2021-01-19 Ji-Zhen Liu , Ning-Yang Chen , Wen-Qiang Liu , Hai-Rui Wei , Ming Hua

With the development of computational intelligence algorithms, unsupervised monocular depth and pose estimation framework, which is driven by warped photometric consistency, has shown great performance in the daytime scenario. While in some…

Computer Vision and Pattern Recognition · Computer Science 2022-06-10 Chaoqiang Zhao , Yang Tang , Qiyu Sun

Object co-segmentation is to segment the shared objects in multiple relevant images, which has numerous applications in computer vision. This paper presents a spatial and semantic modulated deep network framework for object co-segmentation.…

Computer Vision and Pattern Recognition · Computer Science 2019-12-02 Kaihua Zhang , Jin Chen , Bo Liu , Qingshan Liu

In this paper, the privacy of wireless transmissions is improved through the use of an efficient technique termed dynamic directional modulation (DDM), and is subsequently assessed in terms of the measure of information leakage. Recently, a…

As a green and secure wireless transmission way, secure spatial modulation (SM) is becoming a hot research area. Its basic idea is to exploit both the index of activated transmit antenna and amplitude phase modulation (APM) signal to carry…

Signal Processing · Electrical Eng. & Systems 2019-07-05 Feng Shu , Lin Liu , Yumeng Zhang , Guiyang Xia , Xiaoyu Liu , Jun Li , Shi Jin , Jiangzhou Wang

Signal decomposition is a classical problem in signal processing, which aims to separate an observed signal into two or more components each with its own property. Usually each component is described by its own subspace or dictionary.…

Computer Vision and Pattern Recognition · Computer Science 2018-12-27 Shervin Minaee , Yao Wang

Reversible data hiding (RDH) is one special type of information hiding, by which the host sequence as well as the embedded data can be both restored from the marked sequence without loss. Beside media annotation and integrity…

Computer Vision and Pattern Recognition · Computer Science 2018-11-08 Dongdong Hou , Weiming Zhang , Jiayang Liu , Siyan Zhou , Dongdong Chen , Nenghai Yu