  An algorithm for image processing is proposed. The proposed algorithm, which
can be viewed as a quantum-classical hybrid algorithm, can transform a
low-resolution bitonal image of a character from the set of alphanumeric
characters (A-Z, 0-9) into a high-resolution image. The quantum part of the
proposed algorithm fruitfully utilizes a variant of Grover's search algorithm,
known as the fixed point search algorithm. Further, the quantum part of the
algorithm is simulated using CQASM and the advantage of the algorithm is
established through the complexity analysis. Additional analysis has also
revealed that this scheme for optical character recognition (OCR) leads to high
confidence value and generally works in a more efficient manner compared to the
existing classical, quantum, and hybrid algorithms for a similar task.
