The optical transport of images through a multimode fibre remains an
outstanding challenge with applications ranging from optical communications to
neuro-imaging. State of the art approaches either involve measurement and
control of the full complex field transmitted through the fibre or, more
recently, training of artificial neural networks that however, are typically
limited to image classes belong to the same class as the training data set.
Here we implement a method that statistically reconstructs the inverse
transformation matrix for the fibre. We demonstrate imaging at high frame
rates, high resolutions and in full colour of natural scenes, thus
demonstrating general-purpose imaging capability. Real-time imaging over long
fibre lengths opens alternative routes to exploitation for example for secure
communication systems, novel remote imaging devices, quantum state control
processing and endoscopy
