An Improvement Technique Based on Structural Similarity Thresholding for Digital Watermarking. (17th December 2014)
- Record Type:
- Journal Article
- Title:
- An Improvement Technique Based on Structural Similarity Thresholding for Digital Watermarking. (17th December 2014)
- Main Title:
- An Improvement Technique Based on Structural Similarity Thresholding for Digital Watermarking
- Authors:
- Banitalebi-Dehkordi, Amin
Banitalebi-Dehkordi, Mehdi
Abouei, Jamshid
Nader-Esfahani, Said - Other Names:
- Hsiao Ying-Tung Academic Editor.
- Abstract:
- Abstract : Digital watermarking is extensively used in ownership authentication and copyright protection. In this paper, we propose an efficient thresholding scheme to improve the watermark embedding procedure in an image. For the proposed algorithm, watermark casting is performed separately in each block of an image, and embedding in each block continues until a certain structural similarity threshold is reached. Numerical evaluations demonstrate that our scheme improves the imperceptibility of the watermark when the capacity remains fixed, and at the same time, robustness against attacks is assured. The proposed method is applicable to most image watermarking algorithms. We verify this issue on watermarking schemes in discrete cosine transform (DCT), wavelet, and spatial domain.
- Is Part Of:
- Advances in computer engineering. Volume 2014(2014)
- Journal:
- Advances in computer engineering
- Issue:
- Volume 2014(2014)
- Issue Display:
- Volume 2014, Issue 2014 (2014)
- Year:
- 2014
- Volume:
- 2014
- Issue:
- 2014
- Issue Sort Value:
- 2014-2014-2014-0000
- Page Start:
- Page End:
- Publication Date:
- 2014-12-17
- Subjects:
- Computer engineering -- Periodicals
Computer engineering
Periodicals
621.39 - Journal URLs:
- https://www.hindawi.com/journals/aceng/ ↗
- DOI:
- 10.1155/2014/580697 ↗
- Languages:
- English
- ISSNs:
- 2356-6620
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10339.xml