An accelerated total-variation compressive sensing approach to field strength reconstruction

B Li, M Salucci, W Tang, P Rocca… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… The ATV-CS, which is based on a smart implementation of … the computational cost of the
standard total variation (TV)-CS so that … efficiency of the proposed approach in comparison with …

Improved compressed sensing and super‐resolution of cardiac diffusion MRI with structure‐guided total variation

I Teh, D McClymont, E Carruth, J Omens… - Magnetic resonance …, 2020 - Wiley Online Library
… RF coils, and their performance depends on the spatially variant … The differences between
TV and DTV pairs were not … not reaching statistical significance, were observed in the TV data…

Image block compressive sensing reconstruction via group-based sparse representation and nonlocal total variation

J Xu, Y Qiao, Z Fu, Q Wen - Circuits, Systems, and Signal Processing, 2019 - Springer
… exploit local statistics, neglecting nonlocal statistics of images. … fair comparison among the
competing methods, we have carefully tuned their parameters to achieve the best performance

l₀-l₁ Hybrid Total Variation Regularization and its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing

M Wang, Q Wang, J Chanussot… - … and Remote Sensing, 2021 - ieeexplore.ieee.org
… for image restoration is based on total variation (TV). The TV regularization was introduced
… removal and CS recovery demonstrate the superior performances of our proposed methods. …

Enhanced 3DTV regularization and its applications on HSI denoising and compressed sensing

J Peng, Q Xie, Q Zhao, Y Wang, L Yee… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… encodes the correlation and difference among all these bands, … naturally encoded as the
total variance (TV) along with different … His current research interests include statistical signal …

Compressed sensing MRI via extended anisotropic and isotropic total variation

F Zeng, H Du, J Jin, J Xu, B Qiu - … of Medical Imaging and …, 2019 - ingentaconnect.com
efficiency, while computational complexity is the same as TV … notice important perceptual
differences between the images. … In order to show more statistical results, all the reconstruction …

Image recovery using total variation minimization on compressive sensing

A El Mahdaoui, A Ouahabi… - 2019 6th International …, 2019 - ieeexplore.ieee.org
total variation by augmented Lagrangian method (TV.ALM) … The main goal of this work is
to demonstrate the performance … Gao, “Image restoration using joint statistical modeling in a …

Compressive sparse data gathering with low-rank and total variation in wireless sensor networks

Y Xu, G Sun, T Geng, B Zheng - IEEE Access, 2019 - ieeexplore.ieee.org
… term for penalizing the difference between the obtained … Eckstein, ‘‘Distributed optimization
and statistical learning via … sensor networks, the Internet of things, compressed sensing, infor…

Total variation vs L1 regularization: a comparison of compressive sensing optimization methods for chemical detection

E Farnell, H Kvinge, JR Dupuis, M Kirby… - Computational …, 2020 - spiedigitallibrary.org
… In order to make a fair comparison between raw and … We additionally use a bulk coherence
statistic for signal … matrix affect the comparative performance of ℓ 1 and TV? Are these results …

Compressed sensing with 1D total variation: Breaking sample complexity barriers via non-uniform recovery

M Genzel, M März, R Seidel - … and Inference: A Journal of the …, 2022 - academic.oup.com
TV minimization forms an active branch of research in compressed sensing, and we refer …
processes [59] or as Gaussian complexity in statistical learning theory [5]. While its benefits to …