  This paper presents a number of problems concerning the practical (real)
implementation of the techniques known as Quantum Image Processing. The most
serious problem is the recovery of the outcomes after the quantum measurement,
which will be demonstrated in this work that is equivalent to a noise
measurement, and it is not considered in the literature on the subject. It is
noteworthy that this is due to several factors: 1) a classical algorithm that
uses Dirac's notation and then it is coded in MATLAB does not constitute a
quantum algorithm, 2) the literature emphasizes the internal representation of
the image but says nothing about the classical-to-quantum and
quantum-to-classical interfaces and how these are affected by decoherence, 3)
the literature does not mention how to implement in a practical way (at the
laboratory) these proposals internal representations, 4) given that Quantum
Image Processing works with generic qubits this requires measurements in all
axes of the Bloch sphere, logically, and 5) among others. In return, the
technique known as Quantum Boolean Image Processing is mentioned, which works
with computational basis states (CBS), exclusively. This methodology allows us
to avoid the problem of quantum measurement, which alters the results of the
measured except in the case of CBS. Said so far is extended to quantum
algorithms outside image processing too.
