DWT-SVD BASED SEMI-BLIND DIGITAL IMAGE WATERMARKING

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

MAKHLOUGHI M.; DANIALI H.; AKHLAGHIAN F.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY Year:2011 | Volume:2 | Issue:5-6 Page(s): 55-65

Download Full-Text

Persian Verion

View:

865

Download:

Cites:

Information Journal Paper

Title

DWT-SVD BASED SEMI-BLIND DIGITAL IMAGE WATERMARKING

Author(s)

MAKHLOUGHI M. | DANIALI H. | AKHLAGHIAN F. | Issue Writer Certificate

Keywords

DISCRETE WAVELET TRANSFORM; SINGULAR VALUE DECOMPOSITION; IMAGE WATERMARKING; SEMI BLIND WATERMARKINGQ3

Abstract

With development of digital multimedia technology and rapid growth of the Internet, illegal copy and exchange of digital multimedia sources is also spread. In such environment, copyright protection plays an essential role. In this paper a new semi- blind image watermarking algorithm for proof of ownership is proposed. At first, the original image is transformed to transform domain and the low frequency sub-band is selected to make reference image. Then, 1-level wavelet decomposition is applied to reference and grey-scale watermark images. Finally, the embedding is done by modifying the singular values of reference image’s sub-bands with the equivalent singular values of watermark’s sub-bands. In the proposed method, the reference image is needed during the extraction process, so it is called semi blind method. Robustness of the proposed method against various attacks that are applied to the watermarked image is investigated. The experimental results show that the proposed method is more robust than previous works against different attacks and the watermarked image looks visually identical to the original image.

Cites

No record.

References

No record.

Cite

APA: Copy

MAKHLOUGHI, M., DANIALI, H., & AKHLAGHIAN, F.. (2011). DWT-SVD BASED SEMI-BLIND DIGITAL IMAGE WATERMARKING. IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY, 2(5-6), 55-65. SID. https://sid.ir/paper/171478/en

Vancouver: Copy

MAKHLOUGHI M., DANIALI H., AKHLAGHIAN F.. DWT-SVD BASED SEMI-BLIND DIGITAL IMAGE WATERMARKING. IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY[Internet]. 2011;2(5-6):55-65. Available from: https://sid.ir/paper/171478/en

IEEE: Copy

M. MAKHLOUGHI, H. DANIALI, and F. AKHLAGHIAN, “DWT-SVD BASED SEMI-BLIND DIGITAL IMAGE WATERMARKING,” IRANIAN COMMUNICATION AND INFORMATION TECHNOLOGY, vol. 2, no. 5-6, pp. 55–65, 2011, [Online]. Available: https://sid.ir/paper/171478/en

Related Journal Papers