Quantum image edge detection based on Laplacian of Gaussian operator
From MaRDI portal
Publication:6550791
DOI10.1007/S11128-024-04392-ZzbMATH Open1542.81297MaRDI QIDQ6550791
Jeremiah D. Deng, Shuyin Xia, Xianli Li, Suzhen Yuan, Wenhao Zhao
Publication date: 5 June 2024
Published in: Quantum Information Processing (Search for Journal in Brave)
Computing methodologies for image processing (68U10) Quantum computation (81P68) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Cites Work
- SQR: a simple quantum representation of infrared images
- A flexible representation of quantum images for polynomial preparation, image compression, and processing operations
- Quantum image edge extraction based on classical Sobel operator for NEQR
- Quantum image edge extraction based on Laplacian operator and zero-cross method
- A novel quantum representation of color digital images
- Novel multi-bit quantum comparators and their application in image binarization
- A novel fault-tolerant quantum divider and its simulation
- Quantum image edge detection based on eight-direction Sobel operator for NEQR
- Implementation of a quantum image watermarking scheme using NEQR on IBM quantum experience
- NEQR: a novel enhanced quantum representation of digital images
- Quantum implementation of classical Marr-Hildreth edge detection
- Quantum image edge detection using improved Sobel mask based on NEQR
- A quantum edge detection algorithm for quantum multi-wavelength images
- Theory and Applications of Models of Computation
- An adaptive threshold-based quantum image segmentation algorithm and its simulation
This page was built for publication: Quantum image edge detection based on Laplacian of Gaussian operator
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6550791)