University of Konstanz
Graduiertenkolleg / PhD Program
Computer and Information Science

Colloquium of the Department and the PhD Program

title

Opponent Colors Revisited

speaker

Prof. Sabine Süsstrunk, PhD, École polytechnique fédérale de Lausanne, Switzerland

date & place

Wednesday, 30.01.2013, 15:15 h
Room G 309

abstract

According to the efficient coding hypothesis, the goal of the visual system should be to encode the information presented to the retina with as little redundancy as possible. From a signal processing point of view, the first step in removing redundancy is de-correlation, which removes the second order dependencies in the signal. This principle was explored in the context of trichromatic vision by Buchsbaum and Gottschalk, and later Ruderman et al., who found that linear de-correlation of the LMS cone responses matches the opponent color coding in the human visual system. And yet, there is comparatively few research in image processing and computer vision that explicitly model and incorporate color opponency into solving imaging tasks. A common perception is that “colors” are redundant and/or too correlated to be of any interest. In this talk, we show with several applications, such as demosaicking, tone mapping, saliency, and super-pixels that considering opponent colors can significantly improve many tasks in image processing and computer vision.