Research and projects

This is a course project done along with Keshava Kotagiri and Rajkumar  for course fulfillment of 'Advanced Digital Image Processing' in Spring 2025 at IIT Bombay. We study how statistical Prior Support Information (PSI) of sparse signal  improves the number of measurements for sparse recovery.  We have studied, experimented and presented some of the results of this paper.

Results

For our experiments it is inferred that information on prior support serves as a better initial starting point than the LASSO algorithm.

This is a course project done along with Anuj Agrawal  for course fulfillment of 'Medical Image Computing' in Spring 2025 at IIT Bombay. We have studied, experimented and presented some of the results of this paper.

In adverse weather conditions like fog and haze, the images captured suffer from non-trivial degradation. We aim to remove such degradation and restore the true scene appearance i.e. how the scene would have looked on a clear day. This process is called defogging.

We estimate the scene albedo and depth from a single foggy image by alternating minimization strategy.

 Results

We compute the scene albedo and depth for several images.