A new reversible watermarking technique using turbo product code and adaptive prediction algorithm for satellite images

This paper presents a new reversible invisible watermarking algorithm using turbo product code and adaptive prediction algorithm which can recover the original satellite image after extracting the ownership information from the watermarked images. The distortion which is caused by watermarking was a...

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Bibliographic Details
Published in2017 IEEE International Conference on Imaging Systems and Techniques (IST) pp. 1 - 4
Main Authors Kunhu, Alavi, Al-Ahmad, Hussain, AlMaeeni, Sara
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2017
Subjects
adaptive prediction
Additives
Algorithm design and analysis
Data mining
embedding capacity
Prediction algorithms
reversible image watermarking
Satellites
turbo product code
Watermarking
Wireless sensor networks
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Summary:This paper presents a new reversible invisible watermarking algorithm using turbo product code and adaptive prediction algorithm which can recover the original satellite image after extracting the ownership information from the watermarked images. The distortion which is caused by watermarking was assessed by using peak signal to noise ratio, similarity structure index measure and wavelet signal to noise ratio. The proposed algorithm was successfully tested on a variety of satellite images and experimental results demonstrate that the proposed algorithm has a better embedding capacity and signal to noise ratio.
DOI:10.1109/IST.2017.8261490