Fusion of Image Data for Human Understanding Using Array Architectures

摘要

We have been pursuing the development of image and video fusion algorithms suitable for implementation on analog array hardwares, such as the CNN Universal Machine. We are attempting to develop source independent algorithms which produce a fused image which contains all the features from the source images which are relevant to a human observer.