Multilayered quantum computing and simulation system for enhanced image representation of HSI based Fourier transform...

Area of Science:

• Quantum Computing
• Image Processing
• Quantum Information Science

Background:

• Quantum image processing requires novel quantum image representations (QIRs).
• Existing QIRs face challenges in storage capacity and encoding efficiency.
• The hue, saturation, and intensity (HSI) color model offers a rich representation for color images.

Purpose of the Study:

• To introduce a novel quantum image representation model based on the HSI color model.
• To enhance storage capacity and encoding efficiency for quantum image processing.
• To present and analyze quantum image operations within the new framework.

Main Methods:

• Developed a new QIR model named Adjacency Fourier Quantum Image Representation of HSI (AFQIRHSI).
• Integrated an adjacency matrix for spatial relationships and Fourier transform for intensity.
• Utilized a dual-entanglement structure to encode HSI color components and spatial information.

Main Results:

• AFQIRHSI utilizes qubits to store color digital images.
• Achieved enhanced storage capacity compared to previous models like QIRHSI and EQIRHSI.
• Demonstrated quantum image operations including complement color transformation, global color transformation, image retrieval, and detection (QED).

Conclusions:

• AFQIRHSI provides a robust foundation for advanced quantum image processing.
• The model offers significant improvements in storage capacity.
• Potential applications include medical imaging and AI-based image classification.