no code implementations • 18 Sep 2023 • Taihui Li, Anish Lahiri, Yutong Dai, Owen Mayer
Demosaicing and denoising of RAW images are crucial steps in the processing pipeline of modern digital cameras.
no code implementations • 1 Jun 2022 • Shijun Liang, Anish Lahiri, Saiprasad Ravishankar
In brief, our algorithm alternates between searching for neighbors in a data set that are similar to the test reconstruction, and training a local network on these neighbors followed by updating the test reconstruction.
no code implementations • 23 Jan 2022 • Anish Lahiri, Marc Klasky, Jeffrey A. Fessler, Saiprasad Ravishankar
This work focuses on image reconstruction in such settings, i. e., when both the number of available CT projections and the training data is extremely limited.
2 code implementations • 11 Apr 2021 • Anish Lahiri, Guanhua Wang, Saiprasad Ravishankar, Jeffrey A. Fessler
We also compare the proposed method to alternative approaches for combining dictionary-based methods with supervised learning in MR image reconstruction.
no code implementations • 15 May 2019 • Anish Lahiri, Jeffrey A. Fessler, Luis Hernandez-Garcia
We also propose a regression based estimation framework for MRF-ASL.