Gray scale image watermarking using fuzzy entropy and Lagrangian twin SVR in DCT domain

Ashok Kumar Yadav; Rajesh Mehta; Raj Kumar

doi:10.1109/ic3.2015.7346646

Gray scale image watermarking using fuzzy entropy and Lagrangian twin SVR in DCT domain

Ashok Kumar Yadav, Rajesh Mehta, Raj Kumar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

In this paper, the effect of low, middle and high frequency DCT coefficients are investigated onto gray scale image watermarking in terms of imperceptibility and robustness. The performance of Lagrangian twin support vector regression (LTSVR), which was successfully applied on synthetic datasets obtained from UCI repository for various kinds of regression problems by Balasundaram et al. [9], onto image watermarking problem, is validated by embedding and extracting the watermark on different standard and real world images. Also the good learning capability of image characteristics provides the good imperceptibility of the watermark and robustness against several kinds of image processing attacks verifies the high generalization performance of LTSVR. Through the experimental results, it is observed that significant amount of imperceptibility and robustness is achieved using low frequency (LF) DCT coefficients as compared to middle frequency (MF) and high frequency (HF) DCT coefficients as well as state-of-art technique.

Original language	English
Title of host publication	2015 8th International Conference on Contemporary Computing, IC3 2015
Editors	J. Amudha, Deepa Gupta, Jaric Zola, Narendra Nanjangud, Animesh Pathak, Sushil K. Prasad, Tirumale Ramesh, Manish Parashar, Kishore Kothapalli, Purushotham Bangalore, Sanjay Chaudhary, K. V. Dinesha
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	19-24
Number of pages	6
ISBN (Electronic)	9781467379489
DOIs	https://doi.org/10.1109/ic3.2015.7346646
State	Published - 3 Dec 2015
Externally published	Yes
Event	8th International Conference on Contemporary Computing, IC3 2015 - Noida, India Duration: 20 Aug 2015 → 22 Aug 2015

Publication series

Name	2015 8th International Conference on Contemporary Computing, IC3 2015

Conference

Conference	8th International Conference on Contemporary Computing, IC3 2015
Country/Territory	India
City	Noida
Period	20/08/15 → 22/08/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Discrete Cosine Transform
Imperceptibility
Lagragian twin support vector regression
Robustness

Access to Document

10.1109/ic3.2015.7346646

Cite this

Yadav, A. K., Mehta, R., & Kumar, R. (2015). Gray scale image watermarking using fuzzy entropy and Lagrangian twin SVR in DCT domain. In J. Amudha, D. Gupta, J. Zola, N. Nanjangud, A. Pathak, S. K. Prasad, T. Ramesh, M. Parashar, K. Kothapalli, P. Bangalore, S. Chaudhary, & K. V. Dinesha (Eds.), 2015 8th International Conference on Contemporary Computing, IC3 2015 (pp. 19-24). Article 7346646 (2015 8th International Conference on Contemporary Computing, IC3 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ic3.2015.7346646

Yadav, Ashok Kumar ; Mehta, Rajesh ; Kumar, Raj. / Gray scale image watermarking using fuzzy entropy and Lagrangian twin SVR in DCT domain. 2015 8th International Conference on Contemporary Computing, IC3 2015. editor / J. Amudha ; Deepa Gupta ; Jaric Zola ; Narendra Nanjangud ; Animesh Pathak ; Sushil K. Prasad ; Tirumale Ramesh ; Manish Parashar ; Kishore Kothapalli ; Purushotham Bangalore ; Sanjay Chaudhary ; K. V. Dinesha. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 19-24 (2015 8th International Conference on Contemporary Computing, IC3 2015).

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title = "Gray scale image watermarking using fuzzy entropy and Lagrangian twin SVR in DCT domain",

abstract = "In this paper, the effect of low, middle and high frequency DCT coefficients are investigated onto gray scale image watermarking in terms of imperceptibility and robustness. The performance of Lagrangian twin support vector regression (LTSVR), which was successfully applied on synthetic datasets obtained from UCI repository for various kinds of regression problems by Balasundaram et al. [9], onto image watermarking problem, is validated by embedding and extracting the watermark on different standard and real world images. Also the good learning capability of image characteristics provides the good imperceptibility of the watermark and robustness against several kinds of image processing attacks verifies the high generalization performance of LTSVR. Through the experimental results, it is observed that significant amount of imperceptibility and robustness is achieved using low frequency (LF) DCT coefficients as compared to middle frequency (MF) and high frequency (HF) DCT coefficients as well as state-of-art technique.",

keywords = "Discrete Cosine Transform, Imperceptibility, Lagragian twin support vector regression, Robustness",

author = "Yadav, {Ashok Kumar} and Rajesh Mehta and Raj Kumar",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 8th International Conference on Contemporary Computing, IC3 2015 ; Conference date: 20-08-2015 Through 22-08-2015",

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Yadav, AK, Mehta, R & Kumar, R 2015, Gray scale image watermarking using fuzzy entropy and Lagrangian twin SVR in DCT domain. in J Amudha, D Gupta, J Zola, N Nanjangud, A Pathak, SK Prasad, T Ramesh, M Parashar, K Kothapalli, P Bangalore, S Chaudhary & KV Dinesha (eds), 2015 8th International Conference on Contemporary Computing, IC3 2015., 7346646, 2015 8th International Conference on Contemporary Computing, IC3 2015, Institute of Electrical and Electronics Engineers Inc., pp. 19-24, 8th International Conference on Contemporary Computing, IC3 2015, Noida, India, 20/08/15. https://doi.org/10.1109/ic3.2015.7346646

Gray scale image watermarking using fuzzy entropy and Lagrangian twin SVR in DCT domain. / Yadav, Ashok Kumar; Mehta, Rajesh; Kumar, Raj.
2015 8th International Conference on Contemporary Computing, IC3 2015. ed. / J. Amudha; Deepa Gupta; Jaric Zola; Narendra Nanjangud; Animesh Pathak; Sushil K. Prasad; Tirumale Ramesh; Manish Parashar; Kishore Kothapalli; Purushotham Bangalore; Sanjay Chaudhary; K. V. Dinesha. Institute of Electrical and Electronics Engineers Inc., 2015. p. 19-24 7346646 (2015 8th International Conference on Contemporary Computing, IC3 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Gray scale image watermarking using fuzzy entropy and Lagrangian twin SVR in DCT domain

AU - Yadav, Ashok Kumar

AU - Mehta, Rajesh

AU - Kumar, Raj

PY - 2015/12/3

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N2 - In this paper, the effect of low, middle and high frequency DCT coefficients are investigated onto gray scale image watermarking in terms of imperceptibility and robustness. The performance of Lagrangian twin support vector regression (LTSVR), which was successfully applied on synthetic datasets obtained from UCI repository for various kinds of regression problems by Balasundaram et al. [9], onto image watermarking problem, is validated by embedding and extracting the watermark on different standard and real world images. Also the good learning capability of image characteristics provides the good imperceptibility of the watermark and robustness against several kinds of image processing attacks verifies the high generalization performance of LTSVR. Through the experimental results, it is observed that significant amount of imperceptibility and robustness is achieved using low frequency (LF) DCT coefficients as compared to middle frequency (MF) and high frequency (HF) DCT coefficients as well as state-of-art technique.

AB - In this paper, the effect of low, middle and high frequency DCT coefficients are investigated onto gray scale image watermarking in terms of imperceptibility and robustness. The performance of Lagrangian twin support vector regression (LTSVR), which was successfully applied on synthetic datasets obtained from UCI repository for various kinds of regression problems by Balasundaram et al. [9], onto image watermarking problem, is validated by embedding and extracting the watermark on different standard and real world images. Also the good learning capability of image characteristics provides the good imperceptibility of the watermark and robustness against several kinds of image processing attacks verifies the high generalization performance of LTSVR. Through the experimental results, it is observed that significant amount of imperceptibility and robustness is achieved using low frequency (LF) DCT coefficients as compared to middle frequency (MF) and high frequency (HF) DCT coefficients as well as state-of-art technique.

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KW - Imperceptibility

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A2 - Amudha, J.

A2 - Gupta, Deepa

A2 - Zola, Jaric

A2 - Nanjangud, Narendra

A2 - Pathak, Animesh

A2 - Prasad, Sushil K.

A2 - Ramesh, Tirumale

A2 - Parashar, Manish

A2 - Kothapalli, Kishore

A2 - Bangalore, Purushotham

A2 - Chaudhary, Sanjay

A2 - Dinesha, K. V.

PB - Institute of Electrical and Electronics Engineers Inc.

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Yadav AK, Mehta R, Kumar R. Gray scale image watermarking using fuzzy entropy and Lagrangian twin SVR in DCT domain. In Amudha J, Gupta D, Zola J, Nanjangud N, Pathak A, Prasad SK, Ramesh T, Parashar M, Kothapalli K, Bangalore P, Chaudhary S, Dinesha KV, editors, 2015 8th International Conference on Contemporary Computing, IC3 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 19-24. 7346646. (2015 8th International Conference on Contemporary Computing, IC3 2015). doi: 10.1109/ic3.2015.7346646

Gray scale image watermarking using fuzzy entropy and Lagrangian twin SVR in DCT domain

Abstract

Publication series

Conference

Bibliographical note

Keywords

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