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The recent theory of compressive sensing leverages upon the structure of signals to acquire them with much fewer measurements than was previously thought necessary, and certainly well below the traditional Nyquist-Shannon sampling rate.…

Underwater images are severely degraded by wavelength-dependent light absorption and scattering, resulting in color distortion, low contrast, and loss of fine details that hinder vision-based underwater applications. To address these…

Computer Vision and Pattern Recognition · Computer Science 2025-12-18 Afrah Shaahid , Muzammil Behzad

Diffusion models (DMs) have recently gained attention with state-of-the-art performance in text-to-image synthesis. Abiding by the tradition in deep learning, DMs are trained and evaluated on the images with fixed sizes. However, users are…

Computer Vision and Pattern Recognition · Computer Science 2023-10-27 Zhiyu Jin , Xuli Shen , Bin Li , Xiangyang Xue

The report elaborates for the first time visual observations of induced convections in a non-conducting diamagnetic fluid under the action of static gradient magnetic field in the absence of thermal gradients and the techniques employed to…

Instrumentation and Detectors · Physics 2018-05-02 Amit R. Morarka

It is known that waves generated by ambient noise sources and recorded by passive receivers can be used to image the reflectivities of an unknown medium. However, reconstructing the reflectivity of the medium from partial boundary…

Signal Processing · Electrical Eng. & Systems 2026-02-18 Zetao Fei , Josselin Garnier

Background The accuracy of photomechanics measurements critically relies on image quality,particularly under extreme illumination conditions such as welding arc monitoring and polished metallic surface analysis. High dynamic range (HDR)…

Computer Vision and Pattern Recognition · Computer Science 2026-02-16 Banglei Guan , Jing Tao , Liang Xu , Dongcai Tan , Pengju Sun , Jianbing Liu , Yang Shang , Qifeng Yu

Complex systems, which consist of a large number of interacting constituents, often exhibit universal behavior near a phase transition. A slowdown of certain dynamical observables is one such recurring feature found in a vast array of…

This work proposes for the first time to utilize the regular smartphone -- a popular assistive gadget -- to design a novel, non-invasive method for self-monitoring of one's hydration level on a scale of 1 to 4. The proposed method involves…

Signal Processing · Electrical Eng. & Systems 2024-12-04 Rose Alaslani , Levina Perzhilla , Muhammad Mahboob Ur Rahman , Taous-Meriem Laleg-Kirati , Tareq Y. Al-Naffouri

Infrared imaging technology has gained significant attention for its reliable sensing ability in low visibility conditions, prompting many studies to convert the abundant RGB images to infrared images. However, most existing image…

Computer Vision and Pattern Recognition · Computer Science 2025-11-20 Fangyuan Mao , Jilin Mei , Shun Lu , Fuyang Liu , Liang Chen , Fangzhou Zhao , Yu Hu

A number of techniques with different degrees of accuracies have been devised for the measurement of acoustic wave attenuation in solids and liquids. Still, a wide variation is observed in the attenuation values in different materials…

Instrumentation and Detectors · Physics 2018-01-18 Barnana Pal

An important tool for experimental fluids mechanics research is Particle Image Velocimetry (PIV). Several robust methodologies have been proposed to perform the estimation of velocity field from the images, however, alternative methods are…

Computer Vision and Pattern Recognition · Computer Science 2025-02-03 Efraín Magaña , Francisco Sahli Costabal , Wernher Brevis

While methods for monocular depth estimation have made significant strides on standard benchmarks, zero-shot metric depth estimation remains unsolved. Challenges include the joint modeling of indoor and outdoor scenes, which often exhibit…

Computer Vision and Pattern Recognition · Computer Science 2023-12-21 Saurabh Saxena , Junhwa Hur , Charles Herrmann , Deqing Sun , David J. Fleet

Diffusion models are capable of generating impressive images conditioned on text descriptions, and extensions of these models allow users to edit images at a relatively coarse scale. However, the ability to precisely edit the layout,…

Computer Vision and Pattern Recognition · Computer Science 2024-02-01 Daniel Geng , Andrew Owens

Schlieren imaging is an optical technique to observe the flow of transparent media, such as air or water, without any particle seeding. However, conventional frame-based techniques require both high spatial and temporal resolution cameras,…

Computer Vision and Pattern Recognition · Computer Science 2024-03-05 Shintaro Shiba , Friedhelm Hamann , Yoshimitsu Aoki , Guillermo Gallego

Rb-82 dynamic cardiac PET imaging is widely used for the clinical diagnosis of coronary artery disease (CAD), but its short half-life results in high noise levels that degrade dynamic frame quality and parametric imaging. The lack of paired…

Image Steganography is the process of embedding text in images such that its existence cannot be detected by Human Visual System (HVS) and is known only to sender and receiver. This paper presents a novel approach for image steganography…

Multimedia · Computer Science 2015-03-03 Khan Muhammad , Jamil Ahmad , Haleem Farman , Muhammad Zubair

A drop impacting on a solid surface deforms before the liquid makes contact with the surface. We directly measure the time evolution of the air layer profile under the droplet using high-speed color interferometry, obtaining the air layer…

Fluid Dynamics · Physics 2015-03-13 Roeland C. A. van der Veen , Tuan Tran , Detlef Lohse , Chao Sun

Intrinsic image decomposition (IID) is the task of separating an image into albedo and shade. In real-world scenes, it is difficult to quantitatively assess IID quality due to the unavailability of ground truth. The existing method provides…

Computer Vision and Pattern Recognition · Computer Science 2025-05-27 Shogo Sato , Masaru Tsuchida , Mariko Yamaguchi , Takuhiro Kaneko , Kazuhiko Murasaki , Taiga Yoshida , Ryuichi Tanida

Underwater images play a crucial role in ocean research and marine environmental monitoring since they provide quality information about the ecosystem. However, the complex and remote nature of the environment results in poor image quality…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Nilesh Jain , Elie Alhajjar

With the development of terahertz time-domain spectroscopy, methods have been proposed to precisely estimate the thickness, refractive index, and attenuation coefficient of a sample. In this article, we propose a new method to compute these…