Dr. Paul M. Hubel has been an Imaging Architect at Apple, Inc. since 2008 where he works on color and image processing issues for digital photography and camera systems. Among other projects, his color correction methods have been used for all iOS and OSX-raw images since 2010 (trillions of photographs and videos shot on billions of cameras).  Recently, Dr Hubel was the principal leader behind the new camera and image processing technology in Apple’s iPhone 7Plus which affords optical zoom and depth effects to make two significant breakthroughs in smartphone photography.  From 2002-2008, Dr. Hubel worked on imaging solutions for camera systems at Foveon, Inc. and before that he worked for ten years as a Principal Project Scientist at Hewlett-Packard Laboratories working on digital cameras, photofinishing, scanners, copiers, and color printers. Prior to this, Dr. Hubel worked at the Rowland Institute for Science and then as a PostDoc/lecturer at MIT-Media Laboratory. Dr. Hubel received his B.Sc. in Optical Engineering from The University of Rochester in 1986, and his D.Phil. in Engineering Science from Oxford University in 1990 for his dissertation on Color Reflection Holography.  Dr. Hubel has published many technical papers, book chapters, and authored over 50 patents. He is active in many societies and is a US expert on the ISO TC42 committee on Digital Photography.

The talk will give a brief overview of how computational imaging has evolved over the years and the impact it has had on photography. After the early years where sensors and interpolation algorithms improved to catch and surpass the resolution achievable with film, the development of white balance, color, and tone correction algorithms, and the inclusion of new focus technology, panoramic imaging, high dynamic range, image stabilization, image fusion, and depth processing have all combined to realize the promise and populatiry of computational photography.