activity
20182022
most citedFixed-Point and Objective Convergence of Plug-and-Play Algorithms

51 citations · 110 across the 4 of their papers we have counts for

collaborators

6 papers

eess.SP2022

Compressive Sensing of ECG Signals using Plug-and-Play Regularization

Unni VS, Ruturaj Gavaskar, Kunal Narayan Chaudhury

Compressive Sensing (CS) has recently attracted attention for ECG data compression. In CS, an ECG signal is projected onto a small set of random vectors. Recovering the original si…

eess.IV2021

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…

math.OC202151 cited

Fixed-Point and Objective Convergence of Plug-and-Play Algorithms

Pravin Nair, Ruturaj G. Gavaskar, Kunal N. Chaudhury

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…

eess.IV202044 cited

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…

eess.IV201915 cited

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…

cs.CV2018

Fast Adaptive Bilateral Filtering

Ruturaj G. Gavaskar, Kunal N. Chaudhury

In the classical bilateral filter, a fixed Gaussian range kernel is used along with a spatial kernel for edge-preserving smoothing. We consider a generalization of this filter, the…