Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Chaudhury, Kunal N."'
Publikováno v:
IEEE Signal Processing Letters, vol. 30, pp. 1447-1451, 2023
In plug-and-play (PnP) regularization, the proximal operator in algorithms such as ISTA and ADMM is replaced by a powerful denoiser. This formal substitution works surprisingly well in practice. In fact, PnP has been shown to give state-of-the-art re
Externí odkaz:
http://arxiv.org/abs/2309.16899
In multiband fusion, an image with a high spatial and low spectral resolution is combined with an image with a low spatial but high spectral resolution to produce a single multiband image having high spatial and spectral resolutions. This comes up in
Externí odkaz:
http://arxiv.org/abs/2210.04184
Autor:
Nair, Pravin, Chaudhury, Kunal N.
There has been tremendous research on the design of image regularizers over the years, from simple Tikhonov and Laplacian to sophisticated sparsity and CNN-based regularizers. Coupled with a model-based loss function, these are typically used for ima
Externí odkaz:
http://arxiv.org/abs/2209.08003
In Plug-and-Play (PnP) algorithms, an off-the-shelf denoiser is used for image regularization. PnP yields state-of-the-art results, but its theoretical aspects are not well understood. This work considers the question: Similar to classical compressed
Externí odkaz:
http://arxiv.org/abs/2207.13031
Autor:
Nair, Pravin, Chaudhury, Kunal N.
Plug-and-Play (PnP) and Regularization-by-Denoising (RED) are recent paradigms for image reconstruction that leverage the power of modern denoisers for image regularization. In particular, they have been shown to deliver state-of-the-art reconstructi
Externí odkaz:
http://arxiv.org/abs/2207.07321
Publikováno v:
in IEEE Transactions on Image Processing, vol. 30, pp. 4802-4813, 2021
In plug-and-play (PnP) regularization, the knowledge of the forward model is combined with a powerful denoiser to obtain state-of-the-art image reconstructions. This is typically done by taking a proximal algorithm such as FISTA or ADMM, and formally
Externí odkaz:
http://arxiv.org/abs/2105.05177
Publikováno v:
in IEEE Transactions on Computational Imaging, vol. 7, pp. 337-348, 2021
A standard model for image reconstruction involves the minimization of a data-fidelity term along with a regularizer, where the optimization is performed using proximal algorithms such as ISTA and ADMM. In plug-and-play (PnP) regularization, the prox
Externí odkaz:
http://arxiv.org/abs/2104.10348
Plug-and-play (PnP) method is a recent paradigm for image regularization, where the proximal operator (associated with some given regularizer) in an iterative algorithm is replaced with a powerful denoiser. Algorithmically, this involves repeated inv
Externí odkaz:
http://arxiv.org/abs/2004.03145
Publikováno v:
In Signal Processing October 2023 211
In most state-of-the-art image restoration methods, the sum of a data-fidelity and a regularization term is optimized using an iterative algorithm such as ADMM (alternating direction method of multipliers). In recent years, the possibility of using d
Externí odkaz:
http://arxiv.org/abs/1910.14325