Multimedia Data Encryption and Compression via Hybrid Chaotic Compressive Sensing and Latent Vector Transmission

A Pepe, HY Fu, X Liu, FN Khan - 2020 12th International …, 2020 - ieeexplore.ieee.org
A Pepe, HY Fu, X Liu, FN Khan
2020 12th International Conference on Advanced Infocomm Technology …, 2020ieeexplore.ieee.org
We propose a digital transmission system guaranteeing both encryption and compression of
multimedia data. Encryption is performed via chaotic compressive sensing, while
compression is ensured via latent vector transmission based on a stacked autoencoder
(StAE). We demonstrated successful compression in eight cases up to a 0.03 compression
ratio corresponding to 80 pixels transmitted. A compression ratio below 0.4 with StAE can
achieve peak signal-to-noise ratio (PSNR) and mutual information (MI) between original and …
We propose a digital transmission system guaranteeing both encryption and compression of multimedia data. Encryption is performed via chaotic compressive sensing, while compression is ensured via latent vector transmission based on a stacked autoencoder (StAE). We demonstrated successful compression in eight cases up to a 0.03 compression ratio corresponding to 80 pixels transmitted. A compression ratio below 0.4 with StAE can achieve peak signal-to-noise ratio (PSNR) and mutual information (MI) between original and reconstructed images comparable to compression ratios between 0.6 to 0.8 without StAE, meaning same performances for about half of the pixels. Moreover, StAE can guarantee at least a 78,4% slower decrease of PSNR per pixel transmitted and at least 81.3% slower decrease of MI per pixel, averaging at 81.6% and 93.96%, respectively, for the four tested images. StAE can hence push the compression ratio of secure multimedia data while preserving the quality of the received image at receiver side.
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