Results 51 to 60 of about 25,670 (189)

Effective Alternating Direction Optimization Methods for Sparsity-Constrained Blind Image Deblurring

Sensors, 2017
Single-image blind deblurring for imaging sensors in the Internet of Things (IoT) is a challenging ill-conditioned inverse problem, which requires regularization techniques to stabilize the image restoration process.
Naixue Xiong, Ryan Wen Liu, Maohan Liang, Di Wu, Zhao Liu, Huisi Wu   +5 more
doaj   +1 more source

BLIND DECONVOLUTION ON UNDERWATER IMAGES FOR GAS BUBBLE MEASUREMENT [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Marine gas seeps, such as in the Panarea area near Sicily (McGinnis et al., 2011), emit large amounts of methane and carbon-dioxide, greenhouse gases.
C. Zelenka, R. Koch
doaj   +1 more source

Extended object reconstruction in adaptive-optics imaging: the multiresolution approach

, 2012
We propose the application of multiresolution transforms, such as wavelets (WT) and curvelets (CT), to the reconstruction of images of extended objects that have been acquired with adaptive optics (AO) systems.
Gallé, Roberto Baena, Gladysz, Szymon, Núñez, Jorge   +2 more
core   +1 more source

Construction of PANoptosis‐Inhibiting Carbonized Polymer Dots via Machine Learning Potential for Mitigating Chemodrug‐Induced Nephrotoxicity

Advanced Science, EarlyView.
An enhanced sampling method is developed for molecular dynamics based on trained machine learning force fields to guide the construction of PANoptosis‐inhibiting carbonized polymer dots (Lu‐CDs) derived from a flavonoid compound for treating chemodrug‐induced nephrotoxicity.
Xinchen Liu, Jiaxin Zhang, Xiangyu Yan, Nuo Li, Yu‐Chao Dong, Zihao Wang, Daowei Li, Yong Du, Huan Wang   +8 more
wiley   +1 more source

Stress‐Programmed Immune Niches Fuel TNFR2+ Treg Activation and Drive Neoadjuvant Chemotherapy Resistance in Breast Cancer

Advanced Science, EarlyView.
Single‐cell sequencing reveals stress‐programmed immune states driving TNFα–TNFR2–mediated Treg activation and therapy resistance in breast cancer, while targeting this axis restores antitumor immunity. ABSTRACT The tumor microenvironment (TME) harbors diverse immune cell states that shape therapeutic outcomes in breast cancer.
Zhibo Shao, Xuliren Wang, Han Zhu, Ling Yao, Qi Zhang, Zihan Zhai, Xinyi Lv, Xinyuan Xia, Yi Zhang, Xinya Lu, Xinyi Quan, Jiawen Yang, Xinwei Li, Jieyi Dong, Zhi‐ming Shao, Ruoxi Wang, Bingqiu Xiu, Jiong Wu, Sheng Chen   +18 more
wiley   +1 more source

Progressive Blind Deconvolution [PDF]

, 2015
We present a novel progressive framework for blind image restoration. Common blind restoration schemes first estimate the blur kernel, then employ non-blind deblurring. However, despite recent progress, the accuracy of PSF estimation is limited. Furthermore, the outcome of non-blind deblurring is highly sensitive to errors in the assumed PSF. Therefore,
Rana Hanocka, Nahum Kiryati
openaire   +1 more source

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

Advanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu, Penglei Wang, Gaoyuan Xu, Jitao Lu, Qinke Peng, Danyang Wu, Hequan Sun   +6 more
wiley   +1 more source

Seismic Blind Deconvolution Based on Self-Supervised Machine Learning

Applied Sciences
Seismic deconvolution is a useful tool in seismic data processing. Classical non-machine learning deconvolution methods usually apply quite a few constraints to both wavelet inversion and reflectivity inversion.
Xia Yin, Wenhao Xu, Zhifang Yang, Bangyu Wu   +3 more
doaj   +1 more source

Secure Massive IoT Using Hierarchical Fast Blind Deconvolution

, 2018
The Internet of Things and specifically the Tactile Internet give rise to significant challenges for notions of security. In this work, we introduce a novel concept for secure massive access.
Eisert, Jens, Fritschek, Rick, Groß, Benedikt, Roth, Ingo, Wunder, Gerhard   +4 more
core   +1 more source

Noise Fingerprints as a Quantitative Order Parameter for Polarization‐ and Defect‐Mediated Switching in Hafnia Ferroelectrics

Advanced Science, EarlyView.
Low‐frequency noise fingerprints in hafnia ferroelectrics provide a quantitative handle to resolve the long‐standing debate between polarization‐mediated and defect‐mediated switching. By tuning oxygen vacancy density via ALD O3 dose time and applying a physically constrained deconvolution, we extract bias‐resolved current fractions for both mechanisms
Ryun‐Han Koo, Jiseong Im, Joon Hwang, Sung‐Ho Park, Jonghyun Ko, Kangwook Choi, Sangwoo Ryu, Gyuweon Jung, Jong‐Ho Lee   +8 more
wiley   +1 more source