Kaleidoscope Lecture Series: Color and the Camera Imaging Pipeline by Michael Brown

Abstract:

We often think of our cameras as  devices that convert the incoming light rays directly to photographs.  However, there are many steps involved in producing the final photograph  we share with family and friends.  In many cases, the type of  processing applied gives a camera its unique photographic quality. In  this talk, I'll provide an overview of the processing steps applied on  board a digital camera to convert the sensor image to the final  photograph. The in-camera processing includes steps such as denoising,  demosiacing, white-balance, selective color rendering, tone-mapping, and  color space conversion. I'll also talk about new multi-frame approaches  to imaging used on smartphone cameras.

Bio:

Dr. Michael S. Brown is a professor and Canada Research Chair at York University. His research targets computational photography, image processing, and computer vision. He received his undergraduate and PhD degrees in Computer Science from the University of Kentucky in 1995 and 2001 respectively.  He has over 13 years of academic experience working in Asia, holding prior faculty positions at the Hong Kong University of Science and Technology, the Nanyang Technological University (Singapore), and the National University of Singapore.His research interests are in the area of computer vision, image processing, and computer graphics with an emphasis on physics-based models for image enhancement and restoration. Dr. Brown regularly serves on the senior program committees of the major computer vision conferences (CVPR, ICCV, ECCV) and is currently an associate editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) and the International Journal on Computer Vision (IJCV).