Results 41 to 50 of about 2,065,913 (297)

SBHSR: single-band super-resolution method for hyperspectral images based on blind degradation and fusion of auxiliary band

Geocarto International
Despite natural image super-resolution (SR) methods have achieved great success, super-resolution methods for hyperspectral image (HSI) with rich spectral features are still a very challenging task.
Lijing Bu, Xi Xiao, Zhengpeng Zhang, Deng Mingjun   +3 more
doaj   +1 more source

Blind Super Resolution with Feature-Oriented Adaptive Degradation Adjustment

Tsinghua Science and Technology
Conventional methods in blind super-resolution first estimate the unknown degradation kernel from the low-resolution image and then leverage the degradation kernel for image reconstruction.
Hongxia Deng, Ruixin Zhang, Hao Feng, Jingang Shi, Leiyi Gao, Zheng Liang, Maoda Yang   +6 more
doaj   +1 more source

Boosting Degradation Representation Learning for Blind Image Super-Resolution [PDF]

Jisuanji kexue yu tansuo
In most convolutional neural networks-based super-resolution (SR) methods, the degradation assumptions are fixed and known (e.g., bicubic degradation). When applying them to real-world degraded images, the mismatch between the actual degradation and the ...
YUAN Jiang, MA Ji, ZHOU Dengwen
doaj   +1 more source

CEACAM1 participation in breast cancer progression

Molecular Oncology, EarlyView.
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin, Irina Kube‐Golovin, Anatolii Romaniuk, Gunther Wennemuth   +3 more
wiley   +1 more source

A Single-Frame Super-Resolution Innovative Approach

, 2007
Super-resolution refers to the process of obtaining a high resolution image from one or more low resolution images. In this work, we present a novel method for the super-resolution problem for the limited case, where only one image of low resolution is ...
Luz A. Torres-Méndez, Marco I. Ramírez-Sosa Morán, Ramirez Sosa Moran, M.I., Torres-Méndez, L.A., Castelán, M., Mario Castelán   +5 more
core   +1 more source

ALDOA Promotes Glycolysis and NLRP3/GSDMD Pyroptosis to Accelerate ALS Progression

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is characterized by progressive motor neuron degeneration. Glycolytic dysregulation is implicated in disease progression, yet the underlying mechanisms remain unclear. This study investigates how Aldolase A (ALDOA) drives ALS progression through glycolysis‐mediated motor neuron pyroptosis.
Kaixin Yan, Yan Jiang, Yuxuan Yong, Tianshuo Zhang, Niannian Zhang, Qianqian Zeng, Xue Gong, Li Meng, Fangfang Bi, Yongmin Liu   +9 more
wiley   +1 more source

Self-attention augmented blind super-resolution with advanced Sobel loss for remote sensing images

European Journal of Remote Sensing
Super-resolution (SR) is one of the core means to obtain high-spatial-resolution images for remote sensing Earth observation. Existing SR methods rely on paired multi-resolution images acquired under identical spatiotemporal conditions, and their ...
Xin Zuo, Zhiqiang Wen, Chongbin Xu, Guoshuai Li, Qian Chen, Xiaomin Sun, Yu Wu   +6 more
doaj   +1 more source

Multiple Frame Splicing and Degradation Learning for Hyperspectral Imagery Super-Resolution

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Hyperspectral imagery (HSI) is an emerging remote sensing technology to discriminate different remote sensing objects. However, the HSI spatial resolution is relatively low due to the trade-off in restricted physical hardware and various imaging ...
Chenwei Deng, Xingshi Luo, Wenzheng Wang
doaj   +1 more source

Super-resolution-correlator

, 2018
<p>Super-resolution correlator is package for data processing in super-resolution microscopy. It contains a intuitive GUI and high perfomant GPU based visualization and algorithms for 2D and 3D data.<br> Main features:</p> <ul> &
Reinhard, Sebastian, Reinhard, Sebastian (8226522)   +1 more
core   +1 more source

Effectiveness of rTMS on Working Memory and Inhibitory Impairments in Patients With Post‐Stroke Executive Deficits

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao, Rongwei Du, Zhujun Wang, Yang Gao, Meiling Cheng, Xianglong Wang, Wen Wu   +6 more
wiley   +1 more source