Colloquium: Modeling the Digital Camera Pipeline: From RAW to sRGB and Back

Title: Modeling the Digital Camera Pipeline: From RAW to sRGB and Back       

Time: 1/5/2012 Thursday 11:00AM to 12:30PM
Location: Davis Marksbury building, Theatre

This talk presents a study of the in-camera imaging process through an extensive analysis of more than 10,000 images from over 30 cameras.  The goal is to investigate if output image values (i.e. sRGB) can be transformed to physically meaningful values, and if so, when and how this can be done. From our analysis, we show that the conventional radiometric model fits well for image pixels with low color saturation but begins to degrade as color saturation level increases. This is due to a color mapping process which includes gamut mapping in the in-camera processing that cannot be modeled with conventional methods.  To address this issue we introduce a new imaging model for radiometric calibration together with an effective calibration scheme that allows us to  compensate for the nonlinear color correction to convert non-linear sRGB  images to CCD RAW responses.                                                       
Michael S. Brown obtained his BS and PhD in Computer Science from the University of Kentucky in 1995 and 2001 respectively.  He is currently an Associate Professor and Assistant Dean (External Relations) in the School of  Computing at the National University of Singapore.  Dr.  Brown regularly serves on the program committees for the major Computer Vision conferences (ICCV, CVPR, ECCV and ACCV) and is currently an Associate Editor for IEEE TPAMI.  He has served as an area chair for CVPR'09, ACCV'10, CVPR'11, ICCV'11, and ECCV'12 (upcoming).  His research interests include Computer Vision, Image Processing and Computer Graphics.                           


Dr. Ruigang Yang