Nick Chimitt

I am a postdoc at Purdue University working with Professor Stanley Chan and also receieved my PhD in Electrical and Computer Engineering from Purdue University.

I’m a co-author of the book Computational Imaging through Atmospheric Turbulence which focuses on presenting the basic concepts of optics and turbulence physics as they pertain to image reconstruction. A main inspiration of this book derives from Zernike-based simulation of imaging through atmospheric turbulence, which comes from a series of papers by myself and collaborators 1 2 3 4.

I’ve also given two tutorials for imaging through turbulence, one of which was at the 2022 IEEE/CVF Conference on Computer Vision and Pattern (CVPR) which you can watch on Youtube. Alternatively, my final defense went through each version of the simulator step-by-step, so if you want you can get the slides to have an abridged and more personal take on it.

My main interests are computational imaging and image processing with specific emphasis on forward modeling. The concept of computational image formation in particular is a major theme in my interests and direction.