A new inpainting method for highlights elimination by colour morphology

Authors:
Francisco Ortiz;Fernando Torres
Affiliations:
Automatics, Robotics and Computer Vision Group Dept. Physics, Systems Engineering and Signal Theory, University of Alicante, Alicante, Spain;Automatics, Robotics and Computer Vision Group Dept. Physics, Systems Engineering and Signal Theory, University of Alicante, Alicante, Spain
Venue:
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Year:
2005

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Abstract

In this paper, we present a new application of the mathematical morphology: a single-image approach for the automatic detection and elimination of highlights in colour images. We use a 2D-histogram that allows us to relate the achromatic and saturation signals of a colour image and to identify interior brightness. To eliminate the highlights detected, we use an image-inpainting method, by means of connected vectorial filters of the mathematical morphology. This new filter operates exclusively on bright zones, reducing the high cost of processing the connected filtersand avoiding over-simplification. The new method proposed here achieves good results, which are similar to those obtained from other multimedia techniques, yet does not require either costly multiple-view systems or stereo images.