Mohamed Yamni, Achraf Daoui, Chakir El-Kasri, May Almousa, Ali Abdullah S. AlQahtani, Ahmed A. Abd El-Latif
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引用次数: 0
Abstract
In the realm of secure data communication, reversible data hiding (RDH) has emerged as a promising strategy to ensure both confidentiality and integrity. However, in resource-constrained environments, such as microcontroller platforms, conventional RDH techniques encounter challenges due to factors like minimal memory resources and speed, which restrict the use of microcontrollers for implementing image RDH. Addressing this gap, we introduce a lightweight RDH system tailored for microcontrollers, employing the integer reversible Meixner transform (IRMMT), a variant of the Meixner moment transform optimised for integer operations. Unlike its floating-point version, IRMMT ensures complete preservation of data, even with the use of low finite precision arithmetic, thereby demonstrating its efficacy for lossless applications and its suitability for resource-limited embedded devices. Leveraging IRMMT, we propose a novel RDH algorithm designed to operate efficiently within the limitations of microcontroller resources while preserving image quality and integrity. The algorithm is implemented and evaluated on the Arduino Due board, which features the AT91SAM3X8E 32-bit ARM Cortex-M3 microcontroller, demonstrating the feasibility and effectiveness of the proposed approach in enabling secure wireless data communication. Through theoretical formulation, algorithm design and embedded implementation, this paper contributes to advancing RDH methodologies for resource-limited embedded devices.
期刊介绍:
The IET Image Processing journal encompasses research areas related to the generation, processing and communication of visual information. The focus of the journal is the coverage of the latest research results in image and video processing, including image generation and display, enhancement and restoration, segmentation, colour and texture analysis, coding and communication, implementations and architectures as well as innovative applications.
Principal topics include:
Generation and Display - Imaging sensors and acquisition systems, illumination, sampling and scanning, quantization, colour reproduction, image rendering, display and printing systems, evaluation of image quality.
Processing and Analysis - Image enhancement, restoration, segmentation, registration, multispectral, colour and texture processing, multiresolution processing and wavelets, morphological operations, stereoscopic and 3-D processing, motion detection and estimation, video and image sequence processing.
Implementations and Architectures - Image and video processing hardware and software, design and construction, architectures and software, neural, adaptive, and fuzzy processing.
Coding and Transmission - Image and video compression and coding, compression standards, noise modelling, visual information networks, streamed video.
Retrieval and Multimedia - Storage of images and video, database design, image retrieval, video annotation and editing, mixed media incorporating visual information, multimedia systems and applications, image and video watermarking, steganography.
Applications - Innovative application of image and video processing technologies to any field, including life sciences, earth sciences, astronomy, document processing and security.
Current Special Issue Call for Papers:
Evolutionary Computation for Image Processing - https://digital-library.theiet.org/files/IET_IPR_CFP_EC.pdf
AI-Powered 3D Vision - https://digital-library.theiet.org/files/IET_IPR_CFP_AIPV.pdf
Multidisciplinary advancement of Imaging Technologies: From Medical Diagnostics and Genomics to Cognitive Machine Vision, and Artificial Intelligence - https://digital-library.theiet.org/files/IET_IPR_CFP_IST.pdf
Deep Learning for 3D Reconstruction - https://digital-library.theiet.org/files/IET_IPR_CFP_DLR.pdf