Image Fusion Based on Principal Component Analysis and Slicing Image Transformation
Image Fusion Based on Principal Component Analysis and Slicing Image Transformation is a scholarly work, published in 2018 in ''MATEC Web of Conferences''. The main subjects of the publication include image, noise reduction, transformation, process, set, component, artificial intelligence, artificial neural network, computation, principal component analysis, pattern recognition, image fusion, fuse, Slicing, computer science, data mining, fusion, computer vision, sensor fusion, and hyperspectral imaging. Although there exist many techniques on the subject, in this paper, authors develop two originative techniques based on principal component analysis and slicing image transformation to efficiently fuse a small set of noisy images.