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MEO based secured, robust, high capacity and perceptual quality image watermarking in DWT-SVD domain.
Springerplus. 2015; 4:126.S

Abstract

The aim of this paper is to present multiobjective evolutionary optimizer (MEO) based highly secured and strongly robust image watermarking technique using discrete wavelet transform (DWT) and singular value decomposition (SVD). Many researchers have failed to achieve optimization of perceptual quality and robustness with high capacity watermark embedding. Here, we achieved optimized peak signal to noise ratio (PSNR) and normalized correlation (NC) using MEO. Strong security is implemented through eight different security levels including watermark scrambling by Fibonacci-Lucas transformation (FLT). Haar wavelet is selected for DWT decomposition to compare practical performance of wavelets from different wavelet families. The technique is non-blind and tested with cover images of size 512x512 and grey scale watermark of size 256x256. The achieved perceptual quality in terms of PSNR is 79.8611dBs for Lena, 87.8446 dBs for peppers and 93.2853 dBs for lake images by varying scale factor K1 from 1 to 5. All candidate images used for testing namely Lena, peppers and lake images show exact recovery of watermark giving NC equals to 1. The robustness is tested against variety of attacks on watermarked image. The experimental demonstration proved that proposed method gives NC more than 0.96 for majority of attacks under consideration. The performance evaluation of this technique is found superior to all existing hybrid image watermarking techniques under consideration.

Authors+Show Affiliations

Department of Computer Engineering, Padmashree Dr. D.Y. Patil Institute of Engineering and Technology, Pune, 411018 India.Sinhgad Institute of Technology and Science, Narhe, Pune, 411041 India.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

25830081

Citation

Gunjal, Baisa L., and Suresh N. Mali. "MEO Based Secured, Robust, High Capacity and Perceptual Quality Image Watermarking in DWT-SVD Domain." SpringerPlus, vol. 4, 2015, p. 126.
Gunjal BL, Mali SN. MEO based secured, robust, high capacity and perceptual quality image watermarking in DWT-SVD domain. SpringerPlus. 2015;4:126.
Gunjal, B. L., & Mali, S. N. (2015). MEO based secured, robust, high capacity and perceptual quality image watermarking in DWT-SVD domain. SpringerPlus, 4, 126. https://doi.org/10.1186/s40064-015-0904-z
Gunjal BL, Mali SN. MEO Based Secured, Robust, High Capacity and Perceptual Quality Image Watermarking in DWT-SVD Domain. SpringerPlus. 2015;4:126. PubMed PMID: 25830081.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - MEO based secured, robust, high capacity and perceptual quality image watermarking in DWT-SVD domain. AU - Gunjal,Baisa L, AU - Mali,Suresh N, Y1 - 2015/03/14/ PY - 2014/10/09/received PY - 2015/02/24/accepted PY - 2015/4/2/entrez PY - 2015/4/2/pubmed PY - 2015/4/2/medline KW - FLT KW - Histogram KW - MEO KW - Multiobjective KW - Optimization and wavelet KW - Robustness SP - 126 EP - 126 JF - SpringerPlus VL - 4 N2 - The aim of this paper is to present multiobjective evolutionary optimizer (MEO) based highly secured and strongly robust image watermarking technique using discrete wavelet transform (DWT) and singular value decomposition (SVD). Many researchers have failed to achieve optimization of perceptual quality and robustness with high capacity watermark embedding. Here, we achieved optimized peak signal to noise ratio (PSNR) and normalized correlation (NC) using MEO. Strong security is implemented through eight different security levels including watermark scrambling by Fibonacci-Lucas transformation (FLT). Haar wavelet is selected for DWT decomposition to compare practical performance of wavelets from different wavelet families. The technique is non-blind and tested with cover images of size 512x512 and grey scale watermark of size 256x256. The achieved perceptual quality in terms of PSNR is 79.8611dBs for Lena, 87.8446 dBs for peppers and 93.2853 dBs for lake images by varying scale factor K1 from 1 to 5. All candidate images used for testing namely Lena, peppers and lake images show exact recovery of watermark giving NC equals to 1. The robustness is tested against variety of attacks on watermarked image. The experimental demonstration proved that proposed method gives NC more than 0.96 for majority of attacks under consideration. The performance evaluation of this technique is found superior to all existing hybrid image watermarking techniques under consideration. SN - 2193-1801 UR - https://www.unboundmedicine.com/medline/citation/25830081/MEO_based_secured_robust_high_capacity_and_perceptual_quality_image_watermarking_in_DWT_SVD_domain_ L2 - https://dx.doi.org/10.1186/s40064-015-0904-z DB - PRIME DP - Unbound Medicine ER -
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