NDLI: Blind curvelet watermarking method for high-quality images

Content Provider	IET Digital Library
Author	Kim, W. H. Nam, S. H. Lee, H. K.
Abstract	The proposed method is a watermarking method for high-quality images that achieves high invisibility and good robustness using a curvelet domain. Recently, there has been a demand for a watermarking technique that does not impair image quality, as interest in high-quality images has increased. To meet this demand, the authors adopted a method of minimising the watermark-embedding energy by using the multi-directional decomposition technique, curvelet transformation. However, if a watermark is inserted into the curvelet domain with the watermarking technique of the conventional domains, it is distorted during the forward and inverse curvelet transform. To solve this problem, they designed a watermarking method by considering the characteristics of the curvelet filter. By minimising the watermark distortion caused by the curvelet transform, high robustness is achieved with small watermarking energy. The proposed method shows very good invisibility and is difficult to distinguish the original. In terms of robustness, the correlation value increased by >80% and BER decreased by >20% compared with previous methods.
Starting Page	1302
Ending Page	1304
Page Count	3
ISSN	00135194
Volume Number	53
e-ISSN	1350911X
Issue Number	Issue 19, Sep (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/53/19
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2017.0955
Journal	Electronics Letters
Publisher Date	2017-08-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	BER Blind Curvelet Watermarking Method Computer Vision And Image Processing Technique Correlation Value Curvelet Domain Curvelet Filter Curvelet Transformation Curvelet Transforms Data Security Distortion Filtering Method in Signal Processing Filtering Theory Forward Curvelet Transform High-quality Image Image And Video Coding Image Quality Image Watermarking Integral Transforms Inverse Curvelet Transform Inverse Transforms Multidirectional Decomposition Technique Watermark Distortion Minimisation Watermark-embedding Energy Minimisation Method
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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