Integer Wavelet Transform based Dual Watermarking Technique using Tent Map and Local Binary Pattern

α
Sumaya Rahman
Sumaya Rahman
σ
Chandan Saha
Chandan Saha
ρ
Md. Foisal Hossain
Md. Foisal Hossain
Ѡ
Tanjil Alam Tamal
Tanjil Alam Tamal

Send Message

To: Author

Integer Wavelet Transform based Dual Watermarking Technique using Tent Map and Local Binary Pattern

Article Fingerprint

ReserarchID

9C0G7

Integer Wavelet Transform based Dual Watermarking Technique using Tent Map and Local Binary Pattern Banner

AI TAKEAWAY

Connecting with the Eternal Ground
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

Abstract

Watermarking ascribes to insert pattern of bits into an image that conserves copyright information from unauthorized users. In this paper, Integer Wavelet Transform based image watermarking technique using Tent map and Local Binary Pattern has been proposed. Tent Map is used to generate chaotic key sequence to scramble two watermark images. Integer Wavelet Transform (IWT) is applied on the host image to define approximation coefficient (LL) band and to achieve higher level of robustness as perfect reconstruction is guaranteed by the composition of Lifting method. Local Binary Pattern (LBP) is used to generate binary matrix from LL band. Two watermarks are embedded simultaneously to the even and odd coefficients of 5×5 mask of host image. To check robustness, several attacks has been added to watermarked images; their normalized correlation (NC) and peak signal to noise ratio (PSNR) values are quite inspiring, that exhibits superiority of our scheme than some existing schemes.

References

13 Cites in Article
  1. Nasrin Makbol,Bee Khoo (2014). A new robust and secure digital image watermarking scheme based on the integer wavelet transform and singular value decomposition.
  2. Nikodim Lazarov,Zlatoliliya Ilcheva (2016). A fragile watermarking algorithm for image tamper detection based on chaotic maps.
  3. J Chang,B Chen,Tsai (2013). LBP based Fragile Watermarking Scheme for Image Tamper Detection and Recovery.
  4. H Zhang,C Wang,X Zhou (2017). Fragile Watermarking Based on LBP for Blind Tamper Detection in Images.
  5. Irshad Ansari,Millie Pant,Chang Ahn (2016). Robust and false positive free watermarking in IWT domain using SVD and ABC.
  6. Z Wenyin,Frank Shih (2011). Semi-fragile Spatial Watermarking Based on Local Binary Pattern Operators.
  7. Sachin Gaur,Vinay Kumar (2017). A RDWT and Block-SVD based Dual Watermarking Scheme for Digital Images.
  8. Mohmmad Saiyyad,Nitin Patil (2014). Authentication and tamper detection in images using dual watermarking approach.
  9. Morteza Makhloghi,Fardin Akhlaghian,Habibollah Danyali (2010). Robust digital image watermarking using singular value decomposition.
  10. M Makhloghi,F Tab,H Danyali (2011). A new robust blind DWT-SVD based digital image watermarking.
  11. G Sathishkumar,K Bagan,N Sriraam (2016). Image encryption based on diffusion and multiple chaotic maps.
  12. Zhu-Zhi Jia,Hong-Yu Zhu,Wan-Sheng Cheng (2010). A Blind Watermarking Algorithm Based on Lifting Wavelet Transform and Scrambling Technology.
  13. Qingtang Su,Yugang Niu,Xianxi Liu,Yu Zhu (2012). A blind dual color images watermarking based on IWT and state coding.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Sumaya Rahman. 2018. \u201cInteger Wavelet Transform based Dual Watermarking Technique using Tent Map and Local Binary Pattern\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 18 (GJRE Volume 18 Issue F3): .

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords
Classification
GJRE-F Classification: FOR Code: 090699
Version of record

v1.2

Issue date

July 9, 2018

Language
en
Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices
Total Views: 3052
Total Downloads: 1424
2026 Trends
Related Research

Published Article

Watermarking ascribes to insert pattern of bits into an image that conserves copyright information from unauthorized users. In this paper, Integer Wavelet Transform based image watermarking technique using Tent map and Local Binary Pattern has been proposed. Tent Map is used to generate chaotic key sequence to scramble two watermark images. Integer Wavelet Transform (IWT) is applied on the host image to define approximation coefficient (LL) band and to achieve higher level of robustness as perfect reconstruction is guaranteed by the composition of Lifting method. Local Binary Pattern (LBP) is used to generate binary matrix from LL band. Two watermarks are embedded simultaneously to the even and odd coefficients of 5×5 mask of host image. To check robustness, several attacks has been added to watermarked images; their normalized correlation (NC) and peak signal to noise ratio (PSNR) values are quite inspiring, that exhibits superiority of our scheme than some existing schemes.

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Integer Wavelet Transform based Dual Watermarking Technique using Tent Map and Local Binary Pattern

Sumaya Rahman
Sumaya Rahman
Chandan Saha
Chandan Saha
Md. Foisal Hossain
Md. Foisal Hossain
Tanjil Alam Tamal
Tanjil Alam Tamal

Research Journals