Recent progress in image deblurring
This paper comprehensively reviews the recent development of image deblurring, including
non-blind/blind, spatially invariant/variant deblurring techniques. Indeed, these techniques …
non-blind/blind, spatially invariant/variant deblurring techniques. Indeed, these techniques …
DiffuserCam: lensless single-exposure 3D imaging
We demonstrate a compact, easy-to-build computational camera for single-shot three-
dimensional (3D) imaging. Our lensless system consists solely of a diffuser placed in front of …
dimensional (3D) imaging. Our lensless system consists solely of a diffuser placed in front of …
Plug-and-play ADMM for image restoration: Fixed-point convergence and applications
Alternating direction method of multiplier (ADMM) is a widely used algorithm for solving
constrained optimization problems in image restoration. Among many useful features, one …
constrained optimization problems in image restoration. Among many useful features, one …
A convex formulation for hyperspectral image superresolution via subspace-based regularization
Hyperspectral remote sensing images (HSIs) usually have high spectral resolution and low
spatial resolution. Conversely, multispectral images (MSIs) usually have low spectral and …
spatial resolution. Conversely, multispectral images (MSIs) usually have low spectral and …
[HTML][HTML] Iterative projection meets sparsity regularization: towards practical single-shot quantitative phase imaging with in-line holography
Holography provides access to the optical phase. The emerging compressive phase
retrieval approach can achieve in-line holographic imaging beyond the information-theoretic …
retrieval approach can achieve in-line holographic imaging beyond the information-theoretic …
An online plug-and-play algorithm for regularized image reconstruction
Plug-and-play priors (PnP) is a powerful framework for regularizing imaging inverse
problems by using advanced denoisers within an iterative algorithm. Recent experimental …
problems by using advanced denoisers within an iterative algorithm. Recent experimental …
Hyperspectral unmixing with spectral variability using a perturbed linear mixing model
PA Thouvenin, N Dobigeon… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Given a mixed hyperspectral data set, linear unmixing aims at estimating the reference
spectral signatures composing the data-referred to as endmembers-their abundance …
spectral signatures composing the data-referred to as endmembers-their abundance …
Deconvolving images with unknown boundaries using the alternating direction method of multipliers
MSC Almeida, M Figueiredo - IEEE Transactions on Image …, 2013 - ieeexplore.ieee.org
The alternating direction method of multipliers (ADMM) has recently sparked interest as a
flexible and efficient optimization tool for inverse problems, namely, image deconvolution …
flexible and efficient optimization tool for inverse problems, namely, image deconvolution …
Learning to push the limits of efficient FFT-based image deconvolution
This work addresses the task of non-blind image deconvolution. Motivated to keep up with
the constant increase in image size, with megapixel images becoming the norm, we aim at …
the constant increase in image size, with megapixel images becoming the norm, we aim at …
Compressed sensing dynamic cardiac cine MRI using learned spatiotemporal dictionary
Y Wang, L Ying - IEEE transactions on Biomedical Engineering, 2013 - ieeexplore.ieee.org
In dynamic cardiac cine magnetic resonance imaging, the spatiotemporal resolution is
limited by the low imaging speed. Compressed sensing (CS) theory has been applied to …
limited by the low imaging speed. Compressed sensing (CS) theory has been applied to …