Quantum Image Processing in Practice

Auteur

Artyom M. Grigoryan is an Associate Professor with the Department of Electrical Engineering at the University of Texas at San Antonio. He is a Senior Member of IEEE and the Editor of the International Journal of Applied Control and Electrical and Electronics Engineering. Sos S. Agaian is a Distinguished Professor of Computer Science at the Graduate Center/CSI at CUNY. He is an associate editor for IEEE journals, a fellow of IS&T, SPIE, AAAS, IEEE, and AAIA, a Member of Academia Europaea, and a Foreign Member of the Armenian National Academy.

Texte du rabat

"Image processing represents a critical use of artificial intelligence in various applications, including biomedicine, entertainment, economics, and industry. For example, image processing is extensively used in fast-growing markets like facial recognition and autonomous vehicles. Recently, the rapidly increased volume of image data has become the critical driving force for further improving image processing and analysis efficiency. Quantum computing offers great promise for speedy computation of problems in digital image processing (DIP), namely in processing grayscale and color images. Quantum image processing (QIP) is a research branch of quantum information and quantum computing. It studies how to use quantum mechanics' properties to represent images in a quantum computer and then implement various image operations based on that image format."--