The outcomes of applying an orthogonal transformations tool based on Walsh basis functions for information compression during transmission of aircraft images across the communication channel into embedded cyber physical systems are discussed in this study, both theoretically and practically. For the encoding of two-dimensional signals in a quasi-two-dimensional space, perception equality has been demonstrated. Depending on the compression ratio, the quality of the image restoration has been assessed. There have been various protocols for transmitting the produced signal. Images that have been restored have been given examples and evaluations. In this research, we offer a unique learning-based image restoration method for compressed images that recovers high frequency (HF) components based on priors learned from a training sample of realistic images while suppressing compression artefacts. It simulates the JPEG compression process.

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Keywords: Super-Resolution, Image Compression, High Frequency, Two-Dimensional Signals, Communication Channel.