Results 211 to 220 of about 1,135 (244)
A plug and play fuzzy mask extraction module for single image deraining. [PDF]
Sci RepHu M, Song Y, Zhang S, Xie Z, Jing B.
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TriQuery-BEV: Enhancing 3D Perception for Autonomous Driving with Temporal Query Filtering and Uncertainty-Aware Fusion. [PDF]
Sensors (Basel)Dong J, Chen X, Liu Z.
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Plug-and-Play priors for model based reconstruction [PDF]
2013 IEEE Global Conference on Signal and Information Processing, 2013 Model-based reconstruction is a powerful framework for solving a variety of inverse problems in imaging. In recent years, enormous progress has been made in the problem of denoising, a special case of an inverse problem where the forward model is an identity operator.
Charles Bouman +2 more
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Plug-and-Play Synthetic Aperture Radar Image Formation Using Deep Priors
IEEE Transactions on Computational Imaging, 2021 The reconstruction of synthetic aperture radar (SAR) images from phase history data is an ill-posed inverse problem which, in several lines of recent work, is solved by minimizing a cost function. Existing reconstruction methods use regularization to tackle the ill-posed nature of the imaging task. However, in general, these regularizers are either too
Muhammed Burak Alver +2 more
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A Plug-and-Play Priors Framework for Hyperspectral Unmixing [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 Spectral unmixing is a widely used technique in hyperspectral image processing and analysis. It aims to separate mixed pixels into the component materials and their corresponding abundances. Early solutions to spectral unmixing are performed independently on each pixel. Nowadays, investigating proper priors into the unmixing problem has been popular as
Wei Chen, Min Zhao
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Deep Learning for Linear Inverse Problems Using the Plug-and-Play Priors Framework [PDF]
, 2021 Linear inverse problems appear in many applications, where different algorithms are typically employed to solve each inverse problem. Nowadays, the rapid development of deep learning (DL) provides a fresh perspective for solving the linear inverse ...
Miguel Rodrigues
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Provable Convergence of Plug-and-Play Priors With MMSE Denoisers
IEEE Signal Processing Letters, 2020 Plug-and-play priors (PnP) is a methodology for regularized image reconstruction that specifies the prior through an image denoiser. While PnP algorithms are well understood for denoisers performing maximum a posteriori probability (MAP) estimation, they have not been analyzed for the minimum mean squared error (MMSE) denoisers.
Ulugbek S Kamilov, Yu Sun, Jiaming Liu
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Hyperspectral Unmixing Via Plug-And-Play Priors
2020 IEEE International Conference on Image Processing (ICIP), 2020Hyperspectral unmixing aims at separating a mixed pixel into a set of pure spectral signatures and their corresponding fractional abundances. Investigating prior spatial and spectral information to regularize the unmixing problem can effectively improve the estimation performance.
Xiuheng Wang +2 more
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Sharpening Hyperspectral Images Using Plug-and-Play Priors
Lecture Notes in Computer Science, 2017This paper addresses the problem of fusing hyperspectral (HS) images of low spatial resolution and multispectral (MS) images of high spatial resolution into images of high spatial and spectral resolution. By assuming that the target image lives in a low dimensional subspace, the problem is formulated with respect to the latent representation ...
J Bioucas-Dias +2 more
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