Implementation of classical algorithms on image processing.

Denoise package:

• tikhonov.py: Tikhonov regularization.

• rof.py: ROF model implementation for image denoising.

• chambolle.py: Chambolle's algorithm implementation for image denoising.

• fista.py: Fista algorithm implementation for image denoising.

  denoise.py INPUT_IMG ALGORITHM -l [lambda] -i [maxIt] -e [tolerance]

  -a, Algorithm to be used (tikhonov,rof,chambolle,fista).

  -l, Smoothness strength.

  -i, Maximum number of iterations.

  -e, Stop condition tolerance.

Inpainting package

To be done.

Dependencies:

1. scipy, numpy, matplotlib

External libraries:

1. TerminalColors: https://github.com/dennishafemann/python-TerminalColors

References

1. Nonlinear total variation based noise removal algorithms. Leonid I. Rudin; Stanley Osher; Emad Fatemi.
2. An algorithm for total variation mimimization and applications. Antonin Chambolle.
3. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. Amir Beck; Marc Teboulle.