Quantum Image Processing -- Challenges and Future Research Issues

TL;DR

This paper reviews the principles, methods, advantages, and open challenges of quantum image processing, highlighting its potential and current research directions in leveraging quantum computing for image analysis.

Contribution

It provides a comprehensive overview of quantum image processing techniques, compares different methods, and discusses future research challenges and open problems in the field.

Findings

Quantum image storage methods offer advantages over classical systems.

Various quantum image processing techniques have been developed and compared.

Open problems and future research directions are identified.

Abstract

Image processing on quantum platform is a hot topic for researchers now a day. Inspired from the idea of quantum physics, researchers are trying to shift their focus from classical image processing towards quantum image processing.This paper starts with a brief review of the principles which underlie quantum computing, and also deals with some of the basics of qubits and quantum computing.Then this paper starts to deal with some different methods of image storage, representation and retrieval in a quantum system.This paper also describes the advantages of using those methods in quantum systems compare to classical systems. In the next section, a short discussion on some of the important aspects, comparison among them and applications of quantum image processing is presented. A few other hot topics and open problems in quantum image processing are mentioned in this paper. This review article will provide the readership an overview of progress witnessed in the area of Quantum Image processing while also simulating further interest to pursue more advanced research in it.