Quantum Image Processing and Its Applications

Abstract

Quantum computers are capable of processing exponentially large volumes of data in polynomial time. Quantum algorithms have created its impact in a wide range of areas, starting from simulating quantum physical systems to mathematics, cryptography information and language theory etc. Quantum image processing is a subcategory that concentrates on converting the traditional image processing algorithms for quantum computing environments. This chapter gives a brief introduction to the basics of quantum computing. It mainly focusses on quantum image representation and quantum preprocessing algorithms. Flexible representation provides a normalized state that is used for capturing the probability amplitude of the qubit containing the color information and their respective positions. The pixel intensity is stored using the basis state of the qubit by the novel enhanced quantum representation. This chapter also focusses on the Quantum image processing algorithms like filtering, edge detection, and scrambling. Matlab implementation of the quantum algorithms are also provided.