Results 101 to 110 of about 43,627 (311)

Low rank prior in single patches for non-pointwise impulse noise removal [PDF]

, 2015
This paper introduces a low rank prior in small oriented noise-free image patches: Considering an oriented patch as a matrix, a low-rank matrix approximation is enough to preserve the texture details in the optimally oriented patch.
Trucco, Emanuele; id_orcid, Pakleppa, Markus, Wang, Ruixuan   +2 more
core   +1 more source

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

Advanced 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, Chen Kan, Xinhui Yang, Yajuan Hao, Xuemin Cai, Mei Yang, Qianqian Zhang, Zhengting Wang, Ning Jiang, Lei Wang, Hua‐Bing Li, Jing Zhou   +11 more
wiley   +1 more source

Gradient Histogram Estimation and Preservation for Texture Enhanced Image Denoising [PDF]

, 2013
Natural image statistics plays an important role in image denoising, and various natural image priors, including gradient based, sparse representation based and nonlocal selfsimilarity based ones, have been widely studied and exploited for noise removal.
Zhang, D, Song, C, Zuo, W, David Zhang, Zhang, L, Lei Zhang, Wangmeng Zuo, Gao, H, Chunwei Song, Huijun Gao   +9 more
core   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

Boosting of Denoising Effect with Fusion Strategy

Applied Sciences, 2020
Image denoising, a fundamental step in image processing, has been widely studied for several decades. Denoising methods can be classified as internal or external depending on whether they exploit the internal prior or the external noisy-clean image ...
Fangjia Yang, Shaoping Xu, Chongxi Li
doaj   +1 more source

Sketched Learning for Image Denoising

, 2021
The Expected Patch Log-Likelihood algorithm (EPLL) and its extensions have shown good performances for image denoising. It estimates a Gaussian mixture model (GMM) from a training database of image patches and it uses the GMM as a prior for denoising.
Hui Shi, Yann Traonmilin, Jean-François Aujol   +2 more
openaire   +2 more sources

A dual-phase hybrid framework for real-time grayscale image denoising in structured noise [PDF]

Image denoising is a substantial section in the preprocessing stage, especially in medical images. This study proposed a hybrid denoising model for salt-and-pepper removal in grayscale images.
Al-kharaz, Ali Abdulmunim, Witefee, Diyar Mohammed   +1 more
core   +2 more sources

Single‐Cell Dissection of Therapy‐Induced Remodeling Uncovers a Fibroblast‐Driven Immunosuppressive Niche and Targetable Vulnerabilities in Lethal Prostate Cancer

Advanced Science, EarlyView.
Single‐cell longitudinal profiling reveals that androgen‐deprivation therapy induces a DPT+ fibroblast‐complement axis that suppresses macrophage inflammation and drives CD8+ T cell exhaustion in prostate cancer. Concurrently, resistant epithelial subpopulations persist and engage TSPAN1‐ and NRXN1‐mediated programs promoting CRPC and neuroendocrine ...
Yang Chen, Dandan Dong, Jinling Liao, Naikai Liao, Mengqi Liu, Qin Zhang, Siting Chen, Qi Liu, Ying Lu, Tianyu Li, Chunlin Zou, Qiong Song, Qiuyan Wang, Jian Liang, Qiji Xie, Chengyang Li, Mengyun Wang, Jiwen Cheng, Zengnan Mo, Gong‐Hong Wei   +19 more
wiley   +1 more source

Joint Demosaicing and Denoising Based on a Variational Deep Image Prior Neural Network

Sensors, 2020
A joint demosaicing and denoising task refers to the task of simultaneously reconstructing and denoising a color image from a patterned image obtained by a monochrome image sensor with a color filter array.
Yunjin Park, Sukho Lee, Byeongseon Jeong, Jungho Yoon   +3 more
doaj   +1 more source

Semi-blind image restoration based on Chan-Vese denoising model [PDF]

, 2008
A semi-blind image restoration algorithm is proposed based on reduced non-convex approximation of Luminita Vese and Tony Chan's(C-V)denoising model.Compared with C-V denoising model,we modify the fidelity term and add a term on point spread function ...
Tang YD(唐延东), Wang ZF(王智峰)
core