Image Fusion for Enhanced Visualization: A Variational Approach
International Journal of Computer Vision
Contrast Enhancing Colour to Grey
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Image and video decolorization by fusion
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Iris recognition against counterfeit attack using gradient based fusion of multi-spectral images
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
Fisher information and the combination of RGB channels
CCIW'13 Proceedings of the 4th international conference on Computational Color Imaging
Color-to-gray based on chance of happening preservation
Neurocomputing
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We present a new formalism for the treatment and understanding of multispectral images and multisensor imagery based on first-order contrast information. Although little attention has been paid to the utility of multispectral contrast, we develop a theory for multispectral contrast that enables us to produce an optimal grayscale visualization of the first-order contrast of an image with an arbitrary number of bands. We demonstrate how our technique can reveal significantly more interpretive information to an image analyst, who can use it in a number of image understanding algorithms. Existing grayscale visualization strategies are reviewed. A variety of experimental results are presented to support the performance of the new method.