Mathematical Metrics for Evaluating Color Recording Devices

Mathematical Metrics for Evaluating Color Recording Devices
Gaurav Sharma
University of Rochester

Building 24, Alfa Room (Ground floor)
April 19th, 2011
2.30 pm


Digital cameras and scanners are commonly used for capturing color images of scenes and documents.
Motivated by the problem of designing optimal spectral sensitivities for these color recording devices, we consider mathematical metrics for their performance. By posing the problem in a signal-processing systems framework, we develop a comprehensive figure of merit that comprehends the salient characteristics of human color perception, statistics of the input spectra, and device noise within a single framework, while maintaining desirable characteristics of analytic representation, differentiability, and efficient computability. We show how a number of prior metrics for color fidelity arise as special instances of the proposed figure of merit and compare these metrics against each other in terms of agreement with perception and computational requirements.
Finally, we discuss directions for future work in this area that improve upon sensor noise models and incorporate joint models for spatial and spectral sampling inherent in common capture systems.

Short Bio:
Gaurav Sharma is an associate professor at the Electrical and Computer Engineering Department at the University of Rochester. He received the PhD degree in Electrical and Computer engineering from North Carolina State University, Raleigh in 1996. From 1993 through 2003, he was with the Xerox Innovation group in Webster, NY, most recently in the position of Principal Scientist and Project Leader. His research interests include color science and imaging, multimedia/print security, and bioinformatics. From 2008-2010, he was the Director for the Center for Emerging and Innovative Science (CEIS), a New York state funded center located at the University of Rochester chartered with promoting economic development through university-industry technology transfer. He is the Editor-in-Chief for the Journal of Electronic Imaging and the editor of the Digital Color Imaging Handbook published by CRC press in 2003. He has also served as an associate editor for the Journal of Electronic Imaging, the IEEE Transactions on Image Processing, and for the IEEE Transactions on Information Forensics and Security.
Dr. Sharma is a senior member of the IEEE, a member IS&T and has been elected to Sigma Xi, Phi Kappa Phi, and Pi Mu Epsilon. He is a member of the Image, Video, and Multi-dimensional Signal Processing (IVMSP) and the Information Forensics and Security (IFS) technical committees of the IEEE Signal Processing Society and serves the Chair for the former committee. In recognition of his research contributions, he received an IEEE Region I technical innovation award in 2008.

Giacomo Langfelder

Research Area:
Sensors and Instrumentation