doi: 10.7763/IJFCC.2015.V4.400
A New Fragile Watermarking Scheme Based on Wavelet Edge Feature
- Department of Applied Science, Faculty of Science and Technology, Nakhon Sawan Rajabhat University, Muang Nakhon Sawan, 60000, Thailand.
Abstract
An image watermarking is the process ofauthenticating a digital image by embedding a watermark into itand protecting the image from copyright violation. This paperproposes a new fragile watermarking scheme developed in awavelet domain based on the discrete wavelet transform andArnold scrambling algorithm. The original watermark image istransformed into wavelet domain by applying discrete wavelettransform, subsequently the high frequency coefficients whichin form of an edge feature image of wavelet transformed imageis transformed into binary watermark image by usingthresholding method. The binary watermark image is embeddedinto host image by modifying Arnold scrambling algorithm. Theproposed method encompasses three phases includingwatermark generation phase, watermark embedding phase andtamper detection and localization phase. Experimental resultsshow that the proposed method has satisfactory protectionability and can detect and locate various malicious tamperingefficiently. The invisibleness and robustness of the proposemethod is evaluated by using well known indices including peaksignal to noise ratio index and normalized correlation index.
Keywords
- Arnold scrambling
- discrete wavelet transform
- edge feature image
- fragile watermarking scheme
- tamperdetection
How to Cite
Krisda Khankasikam, "A New Fragile Watermarking Scheme Based on Wavelet Edge Feature," International Journal of Future Computer and Communication, vol. 4, no. 4, pp. 270-274, 2015. https://doi.org/ 10.7763/IJFCC.2015.V4.400
Copyright & License
Copyright © 2015 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).




