167 citations · 962 across the 54 of their papers we have counts for
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Stabilizing Deep Reconstruction Operators with Contractive Anchoring
Arghya Sinha, Trishit Mukherjee, Kunal N. Chaudhury
Pretrained deep denoisers can be used to solve a wide range of model-based image reconstruction tasks via Plug-and-Play (PnP) and Regularization-by-Denoising (RED) algorithms, with…
Trainable Nonexpansive Denoisers for Contractive Image Reconstruction
Arghya Sinha, Aditya Banerjee, Trishit Mukherjee +1
Trainable denoisers with Lipschitz control have become central to convergent image reconstruction. However, training neural networks that simultaneously offer strong denoising perf…
Stabilizing RED using the Koopman Operator
Shraddha Chavan, Kunal N. Chaudhury
The widely used RED (Regularization-by-Denoising) framework uses pretrained denoisers as implicit regularizers for model-based reconstruction. Although RED generally yields high-fi…
HyDeFuse: Provably Convergent Denoiser-Driven Hyperspectral Fusion
Sagar Kumar, Unni V S, Kunal Narayan Chaudhury
Hyperspectral (HS) images provide fine spectral resolution but have limited spatial resolution, whereas multispectral (MS) images capture finer spatial details but have fewer bands…
Viscosity Stabilized Plug-and-Play Reconstruction
Arghya Sinha, Trishit Mukherjee, Kunal N. Chaudhury
The plug-and-play (PnP) method uses a deep denoiser within a proximal algorithm for model-based image reconstruction (IR). Unlike end-to-end IR, PnP allows the same pretrained deno…
Linear Convergence of Plug-and-Play Algorithms with Kernel Denoisers
Arghya Sinha, Bhartendu Kumar, Chirayu D. Athalye +1
The use of denoisers for image reconstruction has shown significant potential, especially for the Plug-and-Play (PnP) framework. In PnP, a powerful denoiser is used as an implicit…
Guided Nonlocal Patch Regularization and Efficient Filtering-Based Inversion for Multiband Fusion
Unni V. S., Pravin Nair, Kunal N. Chaudhury
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 multiban…
Plug-and-Play Regularization using Linear Solvers
Pravin Nair, Kunal N. Chaudhury
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. Coup…
On Exact and Robust Recovery for Plug-and-Play Compressed Sensing
Ruturaj G. Gavaskar, Chirayu D. Athalye, Kunal N. Chaudhury
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 underst…
Averaged Deep Denoisers for Image Regularization
Pravin Nair, Kunal N. Chaudhury
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 par…
On Plug-and-Play Regularization using Linear Denoisers
Ruturaj G. Gavaskar, Chirayu D. Athalye, Kunal N. Chaudhury
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 d…
Plug-and-play ISTA converges with kernel denoisers
Ruturaj G. Gavaskar, Kunal N. Chaudhury
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…
On the Proof of Fixed-Point Convergence for Plug-and-Play ADMM
Ruturaj G. Gavaskar, Kunal N. Chaudhury
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 directi…
Optimized Fourier Bilateral Filtering
Sanjay Ghosh, Pravin Nair, Kunal N. Chaudhury
We consider the problem of approximating a truncated Gaussian kernel using Fourier (trigonometric) functions. The computation-intensive bilateral filter can be expressed using fast…