In today's digital world, the secure transmission of sensitive information such as images is of paramount importance. Image data often contains private and sensitive information, so protecting it from unauthorized access and interception becomes a critical challenge. This article shows an encrypted image transmission scheme based on a chaotic dynamic configuration of multiple displacements supported by the saturated nonlinear function (SNLF) and implemented on the multipurpose system-on-chip (MPSoC) platform using Python. The main activity was the realization of a chaotic SNLF space system on the Xilinx FPGA PYNQ-Z1 (MPSoC) board by programming by interactive Python on Jupyter Notebook, with the purpose of implementing a secure communication system. The main contribution is the successful synchronization of a system with several chaotic attractors in a master-slave topology. Another important contribution is the rapid implementation on the PYNQ-Z1 FPGA of the robust secure communication system capable of resisting comprehensive attacks based on chaotic space attractor SNLF. Among the results obtained is to encrypt an image, in grayscale and RGB, with chaos and transmission key in the transmission system, send the encrypted image through its state variables and from them reconstruct the encrypted image by which the receiving system recovers the sent image without loss of information. By achieving this digital image processing architecture in MPSoC, it be possible to program and synthesize other types of algorithms for digital processing and real-time video application.
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