Quantum image edge extraction based on Laplacian operator and zero-cross method

DOI10.1007/S11128-018-2129-XzbMath1417.81083OpenAlexW2903385485WikidataQ128824815 ScholiaQ128824815MaRDI QIDQ669857

Ping Fan, Ri-Gui Zhou, WenWen Hu, Naihuan Jing

Publication date: 15 March 2019

Published in: Quantum Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11128-018-2129-x

zbMATH Keywords

Laplacian operatoredge detectionquantum image processingzero-cross method

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.) (68Q10) Quantum computation (81P68) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Laplace operator, Helmholtz equation (reduced wave equation), Poisson equation (35J05) Quantum algorithms and complexity in the theory of computing (68Q12)

Related Items (11)

Generic conversion method for various spatial domain filters in quantum image processing ⋮ Quantum SUSAN edge detection based on double chains quantum genetic algorithm ⋮ Quantum implementation of classical Marr-Hildreth edge detection ⋮ Quantum image edge detection using improved Sobel mask based on NEQR ⋮ Quantum image edge extraction based on difference of Gaussian operator ⋮ Hybrid phase-based representation of quantum images ⋮ A quantum edge detection algorithm for quantum multi-wavelength images ⋮ Image processing using the quantum quaternion Fourier transform ⋮ Quantum image interest point extraction ⋮ Two-level information hiding for quantum images using optimal LSB ⋮ Quantum image edge extraction based on improved Prewitt operator

Uses Software

• QSobel

Cites Work

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