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Low light very likely leads to the degradation of an image's quality and even causes visual task failures. Existing image enhancement technologies are prone to overenhancement, color distortion or time consumption, and their adaptability is…

Image and Video Processing · Electrical Eng. & Systems 2022-05-17 Xiaozhou Lei , Zixiang Fei , Wenju Zhou , Huiyu Zhou , Minrui Fei

Single-image super-resolution (SISR) is a canonical problem with diverse applications. Leading methods like SRGAN produce images that contain various artifacts, such as high-frequency noise, hallucinated colours and shape distortions, which…

Machine Learning · Computer Science 2018-10-03 Ke Li , Shichong Peng , Jitendra Malik

In medical imaging, accurate diagnosis heavily relies on effective image enhancement techniques, particularly for X-ray images. Existing methods often suffer from various challenges such as sacrificing global image characteristics over…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Sohrab Namazi Nia , Frank Y. Shih

In this paper, we present a novel tone mapping algorithm that can be used for displaying wide dynamic range (WDR) images on low dynamic range (LDR) devices. The proposed algorithm is mainly motivated by the logarithmic response and local…

Computer Vision and Pattern Recognition · Computer Science 2021-02-02 Jie Yang , Ziyi Liu , Ulian Shahnovich , Orly Yadid-Pecht

Poor image quality in low light images may result in a reduced number of feature matching between images. In this paper, we investigate the performance of feature extraction algorithms in low light environments. To find an optimal setting…

Computer Vision and Pattern Recognition · Computer Science 2020-09-03 Pranjay Shyam , Antyanta Bangunharcana , Kyung-Soo Kim

Bootstrap Your Own Latent (BYOL) introduced an approach to self-supervised learning avoiding the contrastive paradigm and subsequently removing the computational burden of negative sampling associated with such methods. However, we…

Machine Learning · Computer Science 2022-03-29 Aiden Durrant , Georgios Leontidis

Narrow stellar streams in the Milky Way halo are uniquely sensitive to dark-matter subhalos, but many of these subhalos may be tidally disrupted. I calculate the interaction between stellar and dark-matter streams using analytical and…

Astrophysics of Galaxies · Physics 2016-03-30 Jo Bovy

Generating mocks for future sky surveys requires large volumes and high resolutions, which is computationally expensive even for fast simulations. In this work we try to develop numerical schemes to calibrate various halo and matter…

Cosmology and Nongalactic Astrophysics · Physics 2020-04-15 Biwei Dai , Yu Feng , Uros Seljak , Sukhdeep Singh

At early times dark matter has a thermal velocity dispersion of unknown amplitude which, for warm dark matter models, can influence the formation of nonlinear structure on observable scales. We propose a new scheme to simulate cosmologies…

Cosmology and Nongalactic Astrophysics · Physics 2020-06-10 Jens Stücker , Oliver Hahn , Raul E. Angulo , Simon D. M. White

Visual hallucinations in Large Language Models (LLMs), where the model generates responses that are inconsistent with the visual input, pose a significant challenge to their reliability, particularly in contexts where precise and…

Computer Vision and Pattern Recognition · Computer Science 2025-06-30 Nokimul Hasan Arif , Shadman Rabby , Md Hefzul Hossain Papon , Sabbir Ahmed

Conservative mass limits are often imposed on the dark matter halo catalogues extracted from N-body simulations. By comparing simulations with different mass resolutions, at $z=0$ we find that even for halos resolved by 100 particles, the…

Cosmology and Nongalactic Astrophysics · Physics 2021-12-08 Joaquin Armijo , Carlton M. Baugh , Nelson D. Padilla , Peder Norberg , Christian Arnold

Contrast enhancement is an important preprocessing technique for improving the performance of downstream tasks in image processing and computer vision. Among the existing approaches based on nonlinear histogram transformations, contrast…

Image and Video Processing · Electrical Eng. & Systems 2020-05-19 Vincent Stimper , Stefan Bauer , Ralph Ernstorfer , Bernhard Schölkopf , R. Patrick Xian

Vision-language models (VLMs) are prone to object hallucinations, where they erroneously indicate the presenceof certain objects in an image. Existing benchmarks quantify hallucinations using relatively small, labeled datasets. However,…

Computer Vision and Pattern Recognition · Computer Science 2025-04-01 Maximilian Augustin , Yannic Neuhaus , Matthias Hein

Retinex model has been applied to low-light image enhancement in many existing methods. More appropriate decomposition of a low-light image can help achieve better image enhancement. In this paper, we propose a new pixel-level non-local…

Image and Video Processing · Electrical Eng. & Systems 2021-06-16 Hao Hou , Yingkun Hou , Yuxuan Shi , Benzheng Wei , Jun Xu

Increasing the visibility of nighttime hazy images is challenging because of uneven illumination from active artificial light sources and haze absorbing/scattering. The absence of large-scale benchmark datasets hampers progress in this…

Computer Vision and Pattern Recognition · Computer Science 2020-10-20 Jing Zhang , Yang Cao , Zheng-Jun Zha , Dacheng Tao

Vision-language models (VLMs) frequently produce hallucinations in the form of descriptions of objects, attributes, or relations that do not exist in the image due to over-reliance on language priors and imprecise cross-modal grounding. We…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Ameen Ali , Tamim Zoabi , Lior Wolf

Bias models relating the dark matter field to the spatial distribution of halos are widely used in current cosmological analyses. Many models predict halos purely from the local Eulerian matter density, yet bias models in perturbation…

Cosmology and Nongalactic Astrophysics · Physics 2024-12-18 Deaglan J. Bartlett , Matthew Ho , Benjamin D. Wandelt

In this paper, we introduce Harmonics Virtual Lights (HVL), to model indirect light sources for interactive global illumination of dynamic 3D scenes. Virtual Point Lights (VPL) are an efficient approach to define indirect light sources and…

Graphics · Computer Science 2022-01-06 Pierre Mézières , François Desrichard , David Vanderhaeghe , Mathias Paulin

Holographic displays generate Three-Dimensional (3D) images by displaying single-color holograms time-sequentially, each lit by a single-color light source. However, representing each color one by one limits brightness in holographic…

Graphics · Computer Science 2023-10-09 Koray Kavaklı , Liang Shi , Hakan Ürey , Wojciech Matusik , Kaan Akşit

High-resolution cosmological N-body simulations are excellent tools for modelling the formation and clustering of dark matter haloes. These simulations suggest complex physical theories of halo formation governed by a set of effective…

Cosmology and Nongalactic Astrophysics · Physics 2022-06-24 Androniki Dimitriou , Christoph Weniger , Camila A. Correa
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