Wavelet Sparsity for Lensless Imaging

Study of sparsity priors (TV and wavelets) to reconstruct images from the DiffuserCam lensless camera

Process:

0. Load the anaconda environment using the env file.
1. Load your image (jpg or png) in input/
2. Run forward_model.py, this will simulate the image capture. (captured image is stored in captured/)
3. Run deconvolve.py, this will run the gradient descent solver (FISTA) with the prior and store the reconstruction in recons/

TODO

1. Analysis plots in utils_diff.py
2. Isolate the wavelet projection function from utils_diff.py