A fast quantum mechanical algorithm for database search
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
Quantum computation and quantum information
Quantum computation and quantum information
Quantum Wavelet Transforms: Fast Algorithms and Complete Circuits
QCQC '98 Selected papers from the First NASA International Conference on Quantum Computing and Quantum Communications
Algorithms for quantum computation: discrete logarithms and factoring
SFCS '94 Proceedings of the 35th Annual Symposium on Foundations of Computer Science
Proceedings of the 6th ACM conference on Computing frontiers
Processing images in entangled quantum systems
Quantum Information Processing
Nonlinear complexity of boolean permutations
Nonlinear complexity of boolean permutations
Quantum Information Processing
Synthesis of reversible logic circuits
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Quantum Circuit Simplification and Level Compaction
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Watermarking and authentication of quantum images based on restricted geometric transformations
Information Sciences: an International Journal
Quantum walks: a comprehensive review
Quantum Information Processing
A two-tier scheme for greyscale quantum image watermarking and recovery
International Journal of Innovative Computing and Applications
Image storage, retrieval, compression and segmentation in a quantum system
Quantum Information Processing
NEQR: a novel enhanced quantum representation of digital images
Quantum Information Processing
A novel quantum representation for log-polar images
Quantum Information Processing
Histogram-based segmentation of quantum images
Theoretical Computer Science
Hi-index | 5.23 |
Three design strategies for constructing new geometric transformations on quantum images from other transformations are proposed. The strategies focus on the affected areas in the images, the separability, and smoothness of the transformations by exploiting a representation of images on quantum computers extensively. The complexity in terms of the number of basic gates and the depth of the corresponding circuits are analyzed to understand the advantages and disadvantages of each strategy. Examples to demonstrate the applicability of the proposed strategies are presented. The strategies provide high level tools to explore and analyze transformations which are necessary to build practical image processing applications on quantum computers.