Review of quantum image processing
Z Wang, M Xu, Y Zhang - Archives of Computational Methods in …, 2022 - Springer
As an interdisciplinary between quantum computing and image processing, quantum image
processing provides more possibilities for image processing due to the powerful parallel …
processing provides more possibilities for image processing due to the powerful parallel …
Quantum image representation: A review
M Lisnichenko, S Protasov - Quantum Machine Intelligence, 2023 - Springer
Quantum programs allow to process multiple bits of information at the same time, which is
useful in multidimensional data handling. Images are an example of such multidimensional …
useful in multidimensional data handling. Images are an example of such multidimensional …
Quantum image edge detection using improved Sobel mask based on NEQR
Recently, image edge detection using quantum image processing has focused due to
having less circuit complexity and storage capacity. Edge extraction using the Sobel …
having less circuit complexity and storage capacity. Edge extraction using the Sobel …
Quantum image edge extraction based on improved Prewitt operator
RG Zhou, H Yu, Y Cheng, FX Li - Quantum Information Processing, 2019 - Springer
Edge detection is one of the most important techniques in the field of image processing,
which has a great influence on the subsequent research of feature extraction, description …
which has a great influence on the subsequent research of feature extraction, description …
Demonstration of quantum image edge extration enhancement through improved Sobel operator
Y Ma, H Ma, P Chu - Ieee Access, 2020 - ieeexplore.ieee.org
Quantum image processing is a system where both quantum computing and image
processings are key. Now it is required to investigate how to apply image processing …
processings are key. Now it is required to investigate how to apply image processing …
Quantum SUSAN edge detection based on double chains quantum genetic algorithm
Edge detection algorithm based on quantum image processing has attracted much attention
due to low circuit complexity and small storage capacity. Since the classical smallest …
due to low circuit complexity and small storage capacity. Since the classical smallest …
Lessons from twenty years of quantum image processing
F Yan, SE Venegas-Andraca - ACM Transactions on Quantum …, 2025 - dl.acm.org
Quantum image processing (QIMP) was first introduced in 2003 by Venegas-Andraca and
Bose at the University of Oxford. This field attempts to overcome the limitations of classical …
Bose at the University of Oxford. This field attempts to overcome the limitations of classical …
Quantum implementation of classical Marr–Hildreth edge detection
P Li, T Shi, A Lu, B Wang - Quantum Information Processing, 2020 - Springer
Edge detection is a fundamental task in digital image processing. Marr–Hildreth edge
detection is the basic tool for implementing edge detection in classic image processing. This …
detection is the basic tool for implementing edge detection in classic image processing. This …
Q-seg: Quantum annealing-based unsupervised image segmentation
We present Q-Seg, a novel unsupervised image segmentation method based on quantum
annealing, tailored for existing quantum hardware. We formulate the pixelwise segmentation …
annealing, tailored for existing quantum hardware. We formulate the pixelwise segmentation …
A quantum convolution and neighborhood pixel extraction scheme based on NEQR
S Cai, RG Zhou - Quantum Information Processing, 2024 - Springer
At the vanguard of quantum computation and quantum machine learning, the role of
convolutional operations is pivotal, serving as the linchpin of image processing techniques …
convolutional operations is pivotal, serving as the linchpin of image processing techniques …