Results 31 to 40 of about 1,202 (247)

Plug-and-Play Priors for Reconstruction-Based Placental Image Registration [PDF]

, 2019
This paper presents a novel deformable registration framework, leveraging an image prior specified through a denoising function, for severely noise-corrupted placental images. Recent work on plug-and-play (PnP) priors has shown the state-of-the-art performance of reconstruction algorithms under such priors in a range of imaging applications ...
Jiarui Xing, Ulugbek Kamilov, Wenjie Wu, Yong Wang, Miaomiao Zhang 0002   +4 more
openaire   +3 more sources

Deep learning for video compressive sensing

APL Photonics, 2020
We investigate deep learning for video compressive sensing within the scope of snapshot compressive imaging (SCI). In video SCI, multiple high-speed frames are modulated by different coding patterns and then a low-speed detector captures the integration ...
Mu Qiao, Ziyi Meng, Jiawei Ma, Xin Yuan
doaj   +1 more source

Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models

CoRR, 2023
Posterior sampling has been shown to be a powerful Bayesian approach for solving imaging inverse problems. The recent plug-and-play unadjusted Langevin algorithm (PnP-ULA) has emerged as a promising method for Monte Carlo sampling and minimum mean squared error (MMSE) estimation by combining physical measurement models with deep-learning priors ...
Renaud, Marien, Liu, Jiaming, de Bortoli, Valentin, Almansa, Andrés, Kamilov, Ulugbek   +4 more
openaire   +5 more sources

Joint Hyperspectral Image Deconvolution and Unmixing via Plug-and-Play Priors

Remote Sensing
Hyperspectral imaging (HSI) provides rich spatial and spectral information for remote sensing, mineral exploration, and biomedical analysis, but its limited spatial resolution and sensor imperfections lead to blurred, noisy, and mixed-pixel observations.
Sina Layazali, Chrysanthe Preza
doaj   +1 more source

Stochastic Generative Plug-and-Play Priors

CoRR
Plug-and-play (PnP) methods are widely used for solving imaging inverse problems by incorporating a denoiser into optimization algorithms. Score-based diffusion models (SBDMs) have recently demonstrated strong generative performance through a denoiser trained across a wide range of noise levels.
Chicago Y. Park, Edward P. Chandler, Yuyang Hu, Michael T. McCann, Cristina Garcia-Cardona, Brendt Wohlberg, Ulugbek S. Kamilov   +6 more
openaire   +3 more sources

Hyperspectral Nonlinear Unmixing by Using Plug-and-Play Prior for Abundance Maps [PDF]

Remote Sensing, 2020
Spectral unmixing (SU) aims at decomposing the mixed pixel into basic components, called endmembers with corresponding abundance fractions. Linear mixing model (LMM) and nonlinear mixing models (NLMMs) are two main classes to solve the SU. This paper proposes a new nonlinear unmixing method base on general bilinear model, which is one of the NLMMs ...
Zhicheng Wang 0012, Lina Zhuang, Lianru Gao, Andrea Marinoni, Bing Zhang 0001, Michael K. Ng 0001   +5 more
openaire   +3 more sources

Video restoration with a deep plug-and-play prior

Journal on Image and Video Processing
This paper presents a novel method for restoring digital videos via a Deep Plug-and-Play (PnP) approach. Under a Bayesian formalism, the method consists in using a deep convolutional denoising network in place of the proximal operator of the prior in an alternating optimization scheme.
Monod, Antoine, Delon, Julie, Almansa, Andrés, Coupeté, Eva, Tassano, Matias   +4 more
openaire   +3 more sources

Development of Patient‐Reported Outcome Measures for Early Systemic Sclerosis Across Disease Subtypes

Arthritis Care &Research, Accepted Article.
Objective Existing patient‐reported outcome (PRO) measures for systemic sclerosis (SSc) have important limitations, including inadequate coverage of early disease and limited inclusion of diffuse cutaneous (dcSSc) and limited cutaneous (lcSSc) subtypes.
George J. Greene, Chelsea Rose Perschon, Emilie Jaeger, Alain Lescoat, David Cella, Dinesh Khanna   +5 more
wiley   +1 more source

A Flexible Plug-and-Play Framework With Scene-Specific Priors for TomoSAR Reconstruction

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Tomographic synthetic aperture radar (TomoSAR) is an advanced remote sensing technology for retrieving high-resolution 3-D information of observed scenes. Existing TomoSAR reconstruction methods have widely employed explicit regularizers, such as the $L_{
Kun Wang, Yizhe Fan, Jie Li, Zhe Zhang, Bingchen Zhang, Yirong Wu   +5 more
doaj   +1 more source

Structure‐Guided Dynamical Mechanics in Bioinspired Double Twisted Laminated Thin Films

Advanced Functional Materials, EarlyView.
This work explores a dynamic mechanistic study of crack propagation and puncture testing via real‐time monitoring of crack initiation, propagation, and termination through nature‐inspired single and double twisted architectures fabricated from cellulose nanocrystals.
Justin Brackenridge, Olivia Harper, Jaejun Lee, Sergio Gonzalez‐Munoz, Vladimir V. Tsukruk   +4 more
wiley   +1 more source