Results 31 to 40 of about 1,135 (244)

Integrating Plug-and-Play Data Priors with Weighted Prediction Error for Speech Dereverberation [PDF]

, 2023
Speech dereverberation aims to alleviate the detrimental effects of late-reverberant components. While the weighted prediction error (WPE) method has shown superior performance in dereverberation, there is still room for further improvement in terms of ...
Yang, Wenxing, Xie, Kai, Yang, Ziye, Chen, Jie   +3 more
core   +1 more source

On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent

, 2023
International audienceBayesian methods to solve imaging inverse problems usually combine an explicit data likelihood function with a prior distribution that explicitly models expected properties of the solution. Many kinds of priors have been explored in
Durmus, Alain, Almansa, Andrés, Delon, Julie, de Bortoli, Valentin, Laumont, Rémi, Pereyra, Marcelo   +5 more
core   +1 more source

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

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

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

Multilevel Plug-and-Play Image Restoration

Plug-and-play (PnP) image reconstruction methods leverage pretrained deep neural network denoisers as image priors to solve general inverse problems, and can obtain a competitive performance without having to train a network on a specific problem ...
Riccietti, Elisa, Tachella, Julián, Laurent, Nils, Pustelnik, Nelly   +3 more
core   +9 more sources

Evaluating the effect of γ‐oryzanol on MASLD pathology using a medaka fish model

FEBS Open Bio, EarlyView.
This study explores a liver disease called MASLD, which is increasing worldwide and can lead to serious damage. Researchers used medaka fish instead of rodents to test a food compound, γ‐oryzanol. Fish fed this compound had less liver fat and healthier gut bacteria.
Yukako Ito, Haduki Asano, Ayano Ueki, Joe Sakamoto, Yasuhiro Kamei, Hayato Tokumoto, Ayaka Yazawa, Shigeki Kamitani   +7 more
wiley   +1 more source

Plug-and-play Admm for Image Restoration

, 2019
The alternating direction method of multiplier (ADMM) is one of the most widely used optimization algorithms in image restoration. Among many features, e.g., provably convergent under mild conditions, its modular structure is particularly appealing to ...
Wang, Xiran
core   +3 more sources