51 citations · 143 across the 10 of their papers we have counts for
19 papers
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…
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…
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…
Convergence Analysis of Nonconvex ADMM for Rigid Registration
Aditya V. Singh, Kunal N. Chaudhury
We consider the problem of rigid registration, where we wish to jointly register multiple point sets via rigid transforms. This arises in applications such as sensor network locali…
On Uniquely Registrable Networks
Aditya V. Singh, Kunal N. Chaudhury
Consider a network with nodes in -dimensional Euclidean space, and subsets of these nodes . Assume that the nodes in a given are observed in a loca…