(Current) Research interests: Home

Deep Learning for Inverse Problems in Image Processing

Sparsity based Signal Processing and its Applications

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Image denoising and image superresolution applications of deep learning

Image reconstruction (MR, tomographic imaging etc.) applications of sparse signal processing and deep learning.

Dictionary learning.

Analysis operator learning.

Sparse adaptive signal processing.

Compressed sensing.

Some example papers:

- DAMP-MRI

- BM3D-MRI

- TL-MRI

- sparse adaptive filters

- dictionary learning

- dictionary learning for classification

- sparsifying transform learning