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2021 | OriginalPaper | Chapter

53. Robust Image Watermarking Using DWT and Artificial Neural Network Techniques

Authors : Anoop Kumar Chaturvedi, Piyush Kumar Shukla, Ravindra Tiwari, Vijay Kumar Yadav, Sachin Tiwari, Vikas Sakalle

Published in: Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences

Publisher: Springer Singapore

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Abstract

Content in this digital world plays an important role which is available in the form of text, image, video, etc. So protecting this from unauthorized access is an important issue. Hence researcher works, in this field from last few decades and proposed number of methods. The proposed work offers a robust and fast algorithm for embedding watermark in an image. In the proposed work, DWT feature was used where embedding was done in LL band. Security of data was improved by Inverse S-order before embedding data. Embedded data is transformed into training vector for neural network model, while corresponding watermark bit is desired output. Embedded data is passing in neural network for learning which gives a corresponding watermark bit. Sothis involvement of neural network for watermark detection increases the robustness of the work. Real set of images was utilized for performing the experiment. Evaluation parameters show that proposed work has enhances PSNR, SNR, NC parameters as compared to existing methods.

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Literature
1.
Cao X, Du L, Wei X, Meng D, Guo X (2015) High capacity reversible data hiding in encrypted images by patch-level sparse representation. IEEE Trans Cybern 46(5):1132–1143CrossRef
2.
Su Q, Liu D, Yuan Z, Wang G, Zhang X, Chen B, Yao T (2019) New rapid and robust color image watermarking technique in spatial domain. IEEE Access 7:30398–30409CrossRef
3.
Porwal P, Ghag T, Poddar N, Tawde A (2014) Digital video data hiding using modified LSB and DCT technique. Int J Res Eng Technol 3(4):630–634CrossRef
4.
Chimanna MA, Khot SR (2013) Digital video data hiding techniques for secure multimedia creation and delivery. Int J Eng Res Appl (IJERA) 3(2):839–844
5.
Zhu C, Sun K (2018) Cryptanalyzing and improving a novel color image encryption algorithm using RT-enhanced chaotic tent maps. IEEE Access 6:18759–18770CrossRef
6.
Yamato K, Hasegawa M, Tanaka Y, Kato S (2012) Digital image watermarking using between-class variance. In: International conference on image processing, vol 21, no 5, pp 2185–2188
7.
Piper A, Safavi-Naini R (2013) Scalable fragile watermarking for image authentication. IET Inf Secur 7(4):300–311CrossRef
8.
Abdullah MA, Dlay SS, Woo WL, Chambers JA (2016) A framework for iris biometrics protection: a marriage between watermarking and visual cryptography. IEEE Access 4:10180–11093CrossRef
9.
Khalilian H, Bajic IV (2013) Video watermarking with empirical PCA-based decoding. IEEE Trans Image Process 22(12):4825–4840MathSciNetCrossRef
10.
Xiaochun C, Ling D, Xingxing W, Dan M, Xiaojie G (2016) High capacity reversible data hiding in encrypted images by patch-level sparse representation. IEEE Trans Cybern 46(5):1132–1143CrossRef
11.
Sun Y, Sui X, Gu G, Liu Y, Xu S (2016) Compressive super-resolution imaging based on scrambled block Hadamard ensemble. IEEE Photonics J 8(2):1–8CrossRef
12.
Huang S, Zhang W, Feng W, Yang H (2008) Blind watermarking scheme based on neural network. In: Proceedings of the 7th IEEE world congress on intelligent control and automation, pp 5985–5989
13.
Abd El-Latif AA, Abd-El-Atty B, Hossain MS, Rahman MA, Alamri A, Gupta BB (2018) Efficient quantum information hiding for remote medical image sharing. IEEE Access 6:21075–21083CrossRef
14.
Nagai Y, Uchida Y, Sakazawa S, Satoh SI (2018) Digital watermarking for deep neural networks. Int J Multimedia Inf Retrieval 7(1):3–16CrossRef
15.
Shareef AQ, Fadel RE (2014) An approach of an image watermarking scheme using neural network. Int J Comput Appl 92(1):44–48
16.
Haribabu K, Subrahmanyam GR, Mishra D (2016) A robust digital image watermarking technique using auto encoder based convolutional neural networks. In: IEEE workshop on computational intelligence: theories, applications and future directions (WCI), pp 1–6
17.
Chaturvedi AK, Shukla PK, Yadav VK, Tiwari S, Tiwari R (2019) Skew tent map based secure non-separable reversible data hiding on histogram modification in inverse S-order. Int J Sci Technol Res (IJSTR) 8(10):2962–2969
18.
Chaturvedi AK, Shukla PK (2018) Non-separable histogram based reversible data hiding approach using inverse S-order and skew tent map. Int J Comput Sci Inf Secur (IJCSIS) 16(1):112–127
19.
Singh P, Shivani S, Agarwal S (2014) A chaotic map based DCT-SVD watermarking scheme for rightful ownership verification. In: 2014 Students conference on engineering and systems. IEEE, Allahabad, pp 1–4
Metadata
Title
Robust Image Watermarking Using DWT and Artificial Neural Network Techniques
Authors
Anoop Kumar Chaturvedi
Piyush Kumar Shukla
Ravindra Tiwari
Vijay Kumar Yadav
Sachin Tiwari
Vikas Sakalle
Copyright Year
2021
Publisher
Springer Singapore
Book
Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences

Print ISBN: 978-981-15-7532-7

Electronic ISBN: 978-981-15-7533-4

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-7533-4_53