  The pixel values of an image can be casted into a real ket of a Hilbert space
using an appropriate block structured addressing. The resulting state can then
be rewritten in terms of its matrix product state representation in such a way
that quantum entanglement corresponds to classical correlations between
different coarse-grained textures. A truncation of the MPS representation is
tantamount to a compression of the original image. The resulting algorithm can
be improved adding a discrete Fourier transform preprocessing and a further
entropic lossless compression.
