Janosch Peters
Supervisor:Prof. Gudrun Klinker
Advisor:Patrick Maier
Submission Date:15.08.2013


The goal of this thesis is to combine images from an intesified CCD (EMCCD) camera and an long wave infrared (LWIR) camera. The fused image should contain all salient features of the individual modalities. As the fused image is thought as an replacement for legacy analogous night vision, the fusion algorithm should provide at least 25 frames per second. To achieve high performance the images are to be foveated. A foveated image is an image which has been compressed by taking advantage of the perceptual properties of the human visual system, namely the decreasing resolution of the retina by increasing eccentricity. The thesis should elaborate how image fusion and foveation methods can be combined efficently while providing a good fused image.

Results/Implementation/Project Description


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