CPU and GPU Based Image Processing for Digital Photographers

Microsoft Corporation Computer Science, 2007-08

Liaison(s): Brad Hinkel ’84, Eric Bennett
Advisor(s): Z Sweedyk
Students(s): Lucy Abramyan (PM), Morgan Conbere, Ellen Kephart, Lilia Markham, Matt McKenett

Through over a century of research and practice, professional film photographers developed visual aesthetics for compelling images, with âlooksâÂ_x009d_ pleasing to the human eye. These techniques are often at odds with the non-perceptual, analytical image processing algorithms applied to digital photographs today. This project examines how these worlds can be united by developing aesthetically-inspired algorithms and prototypes (on the CPU and GPU) for perceptual saturation enhancement, soft focus simulation, and locally-modified high-dynamic range image processing.