Quantum Color Image Encryption via Modification Direction
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Solution Overview
Problem
Current quantum image processing technologies lack effective methods for secure and efficient encryption of color images, particularly in leveraging the unique advantages of quantum computing for secure data embedding and extraction.
Innovation Solution
A quantum color image encrypting method based on modification direction embedding, utilizing a quantum circuit design with modular circuits such as parallel adders, subtractors, comparators, and cyclic shift operations, to embed and extract secret data within carrier images represented by R, G, and B channels, ensuring secure steganography.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If quantum image processing technologies are used for color image encryption, then data security is improved, but the device complexity and computational overhead increase
Solution Approach 1:
The quantum circuit is divided into modular components including parallel adders, subtractors, comparators, and cyclic shift operations. Each module performs a specific function in the encryption process, making the overall complex system manageable and implementable through standardized quantum logic gate combinations.
Solution Approach 2:
The patent replaces classical image encryption mechanisms with quantum computational mechanisms. By utilizing quantum parallelism and superposition, the system achieves enhanced security through quantum cryptographic principles while performing encryption operations fundamentally different from classical approaches.
2Ease of operation
If quantum circuits with modular components are used for data embedding, then the ease of operation is improved, but the device complexity increases
Solution Approach 1:
The quantum circuit modules designed in this patent serve multiple functions within the encryption process. The same modular components (adders, subtractors, comparators) are reused across different stages of the encryption algorithm, reducing the need for separate dedicated circuits for each operation and simplifying overall system control.
Solution Approach 2:
The encryption process utilizes parameter changes in quantum states to embed secret data. By modifying quantum state parameters through controlled quantum operations, the system achieves flexible data embedding while maintaining a structured circuit architecture that can be systematically implemented.
3Productivity
If quantum parallel processing is used for image encryption, then the productivity is improved, but the loss of information increases due to quantum state collapse
Solution Approach 1:
The quantum circuit performs all necessary encryption operations in parallel before any measurement or state collapse occurs. By completing the entire encryption transformation while quantum states remain in superposition, the system extracts all required information from the quantum parallel processing without losing data due to premature collapse.
Solution Approach 2:
The quantum feedback mechanism ensures that encryption operations preserve necessary information throughout the processing. By utilizing quantum feedback loops and reversible quantum operations, the system maintains information integrity while leveraging quantum parallelism for accelerated encryption performance.
Data Source
AI summary
Disclosed are a quantum color image encrypting method based on modification direction and corresponding circuit, respectively providing quantum modular circuits design for a parallel adder, a parallel subtractor, a comparator, a cyclic shift add 1, and a cyclic shift subtract 1; and based on these modular circuits, circuit for implementing quantum color image steganography is provided. From the complexity analysis of implementing quantum circuit for color image steganography, it is seen that for a two-dimensional quantum color image with 22n pixels and the R, G, and B channels of which are respectively represented by q number of quantum bits, the steganography algorithm is an efficient transformation method, and the circuit complexity is O(q2+n), which can hardly be achieved by classical geometric transformation. The disclosure is applicable for many practical image processing applications, e.g., transmitting secrete data via a public image; they all need an effective and secure steganography algorithm; besides, the present disclosure is significant in perfection and applications of image processing theories.