Abstract
The leakage of medical audio data in telemedicine seriously violates the privacy of patients. In order to avoid the leakage of patient information in telemedicine, a two-stage reversible robust audio watermarking algorithm is proposed to protect medical audio data. The scheme decomposes the medical audio into two independent embedding domains, embeds the robust watermark and the reversible watermark into the two domains respectively. In order to ensure the audio quality, the Hurst exponent is used to find a suitable position for watermark embedding. Due to the independence of the two embedding domains, the embedding of the second-stage reversible watermark will not affect the first-stage watermark, so the robustness of the first-stage watermark can be well maintained. In the second stage, the correlation between the sampling points in the medical audio is used to modify the hidden bits of the histogram to reduce the modification of the medical audio and reduce the distortion caused by reversible embedding. Simulation experiments show that this scheme has strong robustness against signal processing operations such as MP3 compression of 48 db, additive white Gaussian noise (AWGN) of 20 db, low-pass filtering, resampling, re-quantization and other attacks, and has good imperceptibility.
Highlights
With the rapid development of Internet communication technology, telemedicine has received more and more attention in the medical field, and the protection of medical data has become the primary problem to be solved in telemedicine
We propose a robust reversible audio watermarking for telemedicine and privacy protection, which first divides the medical cover audio into two independent embedding domains by the frequency domain transform function F
The selected speech signals are evenly distributed across all age groups and genders
Summary
With the rapid development of Internet communication technology, telemedicine has received more and more attention in the medical field, and the protection of medical data has become the primary problem to be solved in telemedicine. When the watermarked audio file is not attacked during the telemedicine transmission process, the watermark can be extracted accurately and the original medical cover audio can be restored non-destructively, improving the accuracy of doctor’s diagnosis. A robust watermark is embedded in the DCT coefficients of the image to obtain an intermediate image, and the difference between the original image and the intermediate images is reversibly embedded in the intermediate image This method is robust to JPEG and has a high embedding capacity. We propose a robust reversible audio watermarking for telemedicine and privacy protection, which first divides the medical cover audio into two independent embedding domains by the frequency domain transform function F. The watermarked audio obtained by this scheme has good audio quality and strong robustness to noise and signal processing operations
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