Results 101 to 110 of about 17,318 (265)

Exposing image forgery through detecting contrast enhancement [PDF]

open access: yes, 2013
In this paper, a novel forensic method of exposing cut-and-paste image forgery through detecting contrast enhancement is proposed. We reveal the inter-channel correlation introduced by color image interpolation, and show how a linear or nonlinear ...
Hu, Yongjian   +2 more
core  

Attention-based Pyramid Dilated Lattice Network for Blind Image Denoising

open access: yes, 2021
Though convolutional neural networks (CNNs) with residual and dense aggregations have obtained much attention in image denoising, they are incapable of exploiting different levels of contextual information at every convolutional unit in order to infer ...
Gao, Y   +5 more
core   +1 more source

Gut Mycobiota‐Associated Tryptophan Catabolites Protect Against Metabolic Dysfunction‐Associated Steatotic Liver Disease

open access: yesAdvanced Science, EarlyView.
ABSTRACT Accumulating evidence suggests that the intestinal microbiota participates in the progression of metabolic dysfunction‐associated steatotic liver disease (MASLD) through microbiota‐host interaction. However, the beneficial role of commensal mycobiota in MASLD progression remains poorly understood.
Shuping Qiao   +11 more
wiley   +1 more source

Improving the generalization of image denoising via structure‐preserved MLP‐based denoiser and generative diffusion prior

open access: yesIET Image Processing
Image denoising aims to remove noise from images and improve the quality of images. However, most image denoising methods heavily rely on pairwise training strategies and strict prior knowledge about image structure or noise distribution.
Jing Wu, Ruilin Xie, Hao Wu, Guowu Yuan
doaj   +1 more source

Self-Supervised Joint Learning for pCLE Image Denoising

open access: yesSensors
Probe-based confocal laser endoscopy (pCLE) has emerged as a powerful tool for disease diagnosis, yet it faces challenges such as the formation of hexagonal patterns in images due to the inherent characteristics of fiber bundles.
Kun Yang   +4 more
doaj   +1 more source

SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising

open access: yes, 2022
Deep learning (DL) based hyperspectral images (HSIs) denoising approaches directly learn the nonlinear mapping between noisy and clean HSI pairs. They usually do not consider the physical characteristics of HSIs.
Jiantao Zhou   +11 more
core   +1 more source

RNA Helicase DDX21 Controls CD4+ T Cell Proliferation and Promotes Inflammatory Bowel Disease via Translational Control

open access: yesAdvanced Science, EarlyView.
ABSTRACT Inflammatory bowel disease (IBD) is characterized by dysregulated T cell responses. RNA helicases, including DExD‐box helicase 21 (DDX21), are pivotal in RNA metabolism, but their role in T cell‐mediated pathology during IBD remains unclear. Here, we demonstrate that DDX21 expression in CD4+ T cells correlates with cell cycle and translation ...
Yujuan Zhang   +11 more
wiley   +1 more source

Multi‐Enzyme Mimetic Molybdenum Nitride Nanozymes Reshape Subgingival Microenvironment for Synergistic Periodontitis Therapy via ROS Regulation and Microbiome Remodeling

open access: yesAdvanced Science, EarlyView.
ABSTRACT Periodontitis, a chronic inflammatory disease initiated and sustained by plaque microorganisms and host immune response, remains an intractable oral disease and a leading cause of tooth loss worldwide. Traditional mechanical debridement and adjunctive antibiotic or antiseptic therapy often shows limited efficacy due to the complex anatomical ...
Weiyu Zhang   +12 more
wiley   +1 more source

Accurate and Fast Image Denoising via Attention Guided Scaling

open access: yes, 2021
Image denoising is a classical topic yet still a challenging problem, especially for reducing noise from the texture information. Feature scaling (e.g., downscale and upscale) is a widely practice in image denoising to enlarge receptive field size and ...
Li, Kai   +5 more
core   +1 more source

Distribution Conditional Denoising: A Flexible Discriminative Image Denoiser

open access: yesCoRR, 2020
A flexible discriminative image denoiser is introduced in which multi-task learning methods are applied to a densoising FCN based on U-Net. The activations of the U-Net model are modified by affine transforms that are a learned function of conditioning inputs.
openaire   +2 more sources

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