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Purdue University
School of Electrical and Computer Engineering
Computational Imaging Laboratories

MAP Image Restoration using JAX

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Abstract

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:

• An application for displaying TIFF images.
• A Python IDE such as PyCharm.

jax_startup - A GitHub repository containing an example JAX programs.

img04g.tif - Example gray scale image used in 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