  In this letter, we present a genetic algorithm-based approach for image
retrieval through a multimode fiber in a reference-less system. Due to mode
interference, when an image is illuminated at one side of a multimode fiber,
the transmitted light forms a noise-like speckle pattern at the other end. With
the use of a prior-measured transmission matrix of the fiber, a speckle pattern
is calculated using a random input mask. By optimizing the input mask to
achieve a high correlation coefficient of experimental and calculated patterns,
the input mask is optimized into an image with high similarity to the original
image.
