Perceptual and Predicted Color Difference Evaluations

The optimization of digital color communication involves high levels of technical capability and expert technical knowledge at each stage of the process. At the heart of color control are mathematical models that correlate visual assessment of color to measurable physical values. In order to achieve efficacy in further development of mathematical models and digital communication of color percepts, the scope and limitations of color predictive models, as well as the myriad variables that influence this relationship, should be elucidated. These variables include aspects of the observer- e.g. age, gender, experience in assessment of color, and physical conditions, such as illumination, surround, object or image size, subject content and textures.

Dr. Renzo Shamey

Lecturer, Polymer and Color Chemistry, North Carolina State University on April 2, 2009 at 8:00 AM in Engineering Building II, Room 1230

Dr. Shamey received his first degree in a 5 year program offering a mix of engineering and chemistry courses entitled Textile & Fibre Chemistry Engineering in 1989. Upon completing his degree, he worked in textile mills (dyeing and finishing industry) for three years in various capacities from process engineer to section manager. He received his Masters in Dyeing and Finishing at Leeds University in 1993. He served as the President of the Postgraduate Representative Council (PGRC) of Leeds University between 1995-1998, and as a post doctoral research associate in Colour Chemistry Department at Leeds University on an industrial project for the Unilever for about a year after his Ph.D.. He then joined Heriot-Watt University in Galashiels (Scotland) in 1998, as Lecturer (Assistant Professor) in Dyeing, Printing and Finishing. In 2003, he joined the Polymer and Color Chemistry (PCC) program in TECS, CoT at North Carolina State University.

The Department of Electrical and Computer Engineering hosts a regularly scheduled seminar series with preeminent and leading reseachers in the US and the world, to help promote North Carolina as a center of innovation and knowledge and to ensure safeguarding its place of leading research.