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Color map-based image fusion

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3 Author(s)
Mohammed Hossny ; Intelligent Systems Research Lab, Deakin University, Australia ; Saeid Nahavandi ; Doug Creighton

An image fusion system accepts two source images and produces a 'better' fused image. The term 'better' differs from one context to another. In some contexts, it means holding more information. In other contexts, it means getting more accurate results or readings. In general, images hold more than just the color values. Histogram distribution, dynamic range of colors, and color maps are all as valuable as the color values presenting the pictorial information of the image. This paper studies the problems of fusing images from different domains. It proposes a method to extend the fusion algorithms to fuse image properties that define the interpretation of captured images as well.

Published in:

2008 6th IEEE International Conference on Industrial Informatics

Date of Conference:

13-16 July 2008