<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper proposes a method of reduced-reference image quality assessment based on watermarking algorithm in underwater acoustic channel. By embedding the watermark image into the original one, then delivering the combined image through the channel distortion, the same channel distortion would be exposed to the original and the watermark image. In the receiver,we use the blind extraction methods to recover the watermark image and use the watermark degradation to evaluate the quality of the original one. In this paper,we build three kinds of channels: AWGN channel, Rice fading channel and GB model channel to validate the feasibility of the method which would be used in the underwater acoustic channel.</p>
</abstract>

This paper proposes a method of reduced-reference image quality assessment based on watermarking algorithm in underwater acoustic channel. By embedding the watermark image into the original one, then delivering the combined image through the channel distortion, the same channel distortion would be exposed to the original and the watermark image. In the receiver,we use the blind extraction methods to recover the watermark image and use the watermark degradation to evaluate the quality of the original one. In this paper,we build three kinds of channels: AWGN channel, Rice fading channel and GB model channel to validate the feasibility of the method which would be used in the underwater acoustic channel.

Image Quality Assessment Method for Underwater Acoustic Communication Based on Digital Watermarking

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This paper proposes a method of reduced-reference image quality assessment based on watermarking algorithm in underwater acoustic channel. By embedding the...

Image Quality Assessment Method for Underwater Acoustic Communication Based on Digital Watermarking

Published Online: Apr 10, 2013

Page range: 752 - 771

Received: Dec 28, 2012

Accepted: Mar 17, 2013

DOI: https://doi.org/10.21307/ijssis-2017-564

© 2013 Yuan Fei et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.