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A Steganographic Model Using Wavelet and Arnold Cat Transform with Multi-Threshold Error-Correcting Coding

This paper is another attempt of a comprehensive solution in the field of steganography data transmission. We also consider software model prototype that fully implements the process of hidden messages transmission in digital photographs. All stages of hidden message processing on the whole way from the sender to the recipient are taken into account. The programming model uses a discrete wavelet transform and new hiding algorithms based on the “Arnold cat map” decomposition. The efficiency of using noise-resistant coding methods and multi-threshold decoding to ensure high probability of integrity and reliability of hidden messages when transmitting them through communication channels with a high level of noise is also shown.