In this laboratory, learn how to restore blurred and noisy images using JAX by computing the MAP estimate of the image using both Gaussian and non-Gaussian MRF models.
To run this laboratory, you will need:
jax_startup - A GitHub repository containing an example JAX programs.
img04g.tif - Example gray scale image used in laboratory.
example_code.zip - Example Python JAX code for laboratory.
Part I: Laboratory Procedure - Instructions for running Part I of the laboratory in pdf format.
Part II: Laboratory Procedure - Instructions for running Part II of the laboratory in pdf format.
Questions or comments should be sent to:
Prof. Charles A. Bouman, School of Electrical and Computer Engineering, Purdue University, West Lafayette IN 47907; (765) 494-0340; bouman@ecn.purdue.edu