Kansei engineering (also called affective engineering) studies and develops methods of translating and embedding perceptual and emotional qualities into the product design features. We adopt this principle and apply it to imaging: we propose a new concept, "Kansei Imaging", which refers to development of algorithms aimed at modifying an existing image so as to reach a set of pre-defined emotional qualities. We sketch the elements required for building a Kansei imaging system, review the available related literature and, as a demonstration of the concept, we present initial results of editing image colours in the colour emotion domain. Finally, we argue that generating emotionally satisfying images is the ultimate goal of consumer imaging, and that the Kansei imaging framework can provide a set of tools to help achieve that goal.