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Block size analysis for discrete wavelet watermarking and embedding a vector image as a watermark
Joint Authors
Sever, Hayri
Senol, Ahmad
Elbası, Ersin
Source
The International Arab Journal of Information Technology
Issue
Vol. 16, Issue 6 (30 Nov. 2019), pp.1036-1043, 8 p.
Publisher
Publication Date
2019-11-30
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
As telecommunication and computer technologies proliferate, most data are stored and transferred in digital format.
Content owners, therefore, are searching for new technologies to protect copyrighted products in digital form.
Image watermarking emerged as a technique for protecting image copyrights.
Early studies on image watermarking used the pixel domain whereas modern watermarking methods convert a pixel based image to another domain and embed a watermark in the transform domain.
This study aims to use, Block Discrete Wavelet Transform (BDWT) as the transform domain for embedding and extracting watermarks.
This study consists of 2 parts.
The first part investigates the effect of dividing an image into non-overlapping blocks and transforming each image block to a DWT domain, independently.
Then, effect of block size on watermark success and, how it is related to block size, are analyzed.
The second part investigates embedding a vector image logo as a watermark.
Vector images consist of geometric objects such as lines, circles and splines.
Unlike pixel-based images, vector images do not lose quality due to scaling.
Vector watermarks deteriorate very easily if the watermarked image is processed, such as compression or filtering.
Special care must be taken when the embedded watermark is a vector image, such as adjusting the watermark strength or distributing the watermark data into the image.
The relative importance of watermark data must be taken into account.
To the best of our knowledge this study is the first to use a vector image as a watermark embedded in a host image
American Psychological Association (APA)
Sever, Hayri& Senol, Ahmad& Elbası, Ersin. 2019. Block size analysis for discrete wavelet watermarking and embedding a vector image as a watermark. The International Arab Journal of Information Technology،Vol. 16, no. 6, pp.1036-1043.
https://search.emarefa.net/detail/BIM-915143
Modern Language Association (MLA)
Sever, Hayri…[et al.]. Block size analysis for discrete wavelet watermarking and embedding a vector image as a watermark. The International Arab Journal of Information Technology Vol. 16, no. 6 (Nov. 2019), pp.1036-1043.
https://search.emarefa.net/detail/BIM-915143
American Medical Association (AMA)
Sever, Hayri& Senol, Ahmad& Elbası, Ersin. Block size analysis for discrete wavelet watermarking and embedding a vector image as a watermark. The International Arab Journal of Information Technology. 2019. Vol. 16, no. 6, pp.1036-1043.
https://search.emarefa.net/detail/BIM-915143
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1042-1043
Record ID
BIM-915143