In this project, we investigate the possibility of using the Matching Pursuit algorithm to generate image representations of a pair of correlated images for distributed source coding. We propose to use constrained dictionaries by appropriately selecting neighbouring atoms to increase the correlation between parameters, and with this, enable the application of the distributed framework.