Researchers from the Islamic Azad University North Tehran Branch and Islamic Azad University of Kermanshah have developed a new algorithm for color image encryption. The algorithm uses bitplane representation of quantum images and a logistic map for image scrambling operations. The output is then combined with a key image created using the logistic map, resulting in a secure image output. The algorithm has proven efficient in securing and encrypting color images, as shown by experiments with simulation and analysis of parameters such as entropy and correlation coefficient of adjacent pixels.
Quantum RGB Image Encryption: An Overview
The research article discusses a new algorithm for color image encryption developed by Saeed Basiri, Laleh Farhang Matin, and Mosayeb Naseri from the Islamic Azad University North Tehran Branch and Islamic Azad University of Kermanshah. The algorithm uses bitplane representation of quantum images (BRQI) and a logistic map for image scrambling operations. The output of these operations is then blended with a key image created using the logistic map, facilitated by a quantum comparator circuit. The result is a secure image output from the encryption algorithm.
The Importance of Data Encryption
Data encryption is crucial in the transmission of information, including pictures, video, audio, and text. The article differentiates between Cryptography and Steganography, two main approaches in the field of encryption. Cryptography aims to hide the content of information, while Steganography aims to hide information marks. The article also mentions two main features of a quantum image: pixel’s position and color information.
Quantum Image Processing
Quantum image processing has gained attention due to its extraordinary function in computing Coherent state, Quantum entanglement, and Superposition. The quantum storage capacity increases exponentially with the process initiation. The article mentions various representations of quantum images, including normal arbitrary superposition state (NASS), multichannel of quantum images (MCQI), flexible representation of quantum images (FRQI), novel enhanced quantum representation (NEQR), Quantum MultiChannel Representation (QMCR), and generalized model of NEQR (GNEQR).
The efficiency of the Proposed Algorithm
The proposed algorithm has shown efficiency and effectiveness in securing and encrypting color images, as demonstrated by experiments with simulation and analysis of parameters such as entropy and correlation coefficient of adjacent pixels in three main positions. The algorithm’s efficiency is also attributed to the increased efficiency in quantum Fourier transform and quantum discrete cosine transform and the ability to simulate and implement image processing and encryption operations in classical computers with linear algebra.
The research paper “Quantum RGB Image Encryption based on Bit-planes and Logistic Map” explores the field of quantum image encryption. The authors, Saeed Basiri, Laleh Farhang Matin, and Mosayeb Naseri, delve into the intricacies of this complex topic. The paper was published on February 1, 2024, on Research Square. https://doi.org/10.21203/rs.3.rs-3910283/v1
