Differences Of Classical And Quantum Computing Approach In Image Processing
Dr. Aslam Suriya and Dr. S. B. Kishor Ashwini Somnathe
The arena of image processing is witnessing innovative and technologically advanced approaches which have significantly improved the process by multiple parameters. Due to its application in multiple sectors such as medicine, surveillance, satellite communication, automated vehicles etc., image processing has become one of the most sought-after technologies in computers. The motivation of this paper is to offer an in-depth contrast as well as analysis between Digital Image Processing and Quantum Image Processing concepts. This paper describes the elementary concepts of Digital Image Processing (DIP), core components of DIP including image filtering, padding, thresholding and connected components and fundamental steps of DIP. The process of sampling and quantization as well as the relationship between pixels is explained. A major area of focus in this paper is QIP (Quantum-Image-Processing) as well as the principles of quantum computing such as superposition, entanglement, and interference. Comparison between classical bits and qubits is also described. The paper elaborates Genetic Algorithms used for DIP and QIP algorithms such as FRQI(Flexible-Representation-of-Quantum-Images) and NEQR(Novel-Enhanced-Quantum-Representation). The paper concludes with key observations made during the study of DIP and QIP techniques and a fundamental understanding of suitability of the above-mentioned techniques depending on the problem statement.
Journal of Pharmaceutical Negative Results•Dec 31, 2022•0 citations