Multispectral Image Fusion for Active Millimeter Wave Imaging Application

The emerging active millimeter wave imaging technology has the potential to yield much more information when one has control over the illumination parameters such as angle and frequency. In this paper, we propose using image fusion techniques to process multispectral millimeter wave images in order to improve the image quality. Three pixel level fusion methods, based on band ratioing, wavelet transform, and principle component analysis, have been applied to multispectral images of two test objects, captured by an experimental active millimeter wave imaging setup. The results show that multispectral image fusion successfully improves the spatial content of the object of interest.