In this work, a new watermarking scheme is proposed to authenticate an image. This scheme is capable to detect the alternation locations, if any. The basic idea of this scheme is to uniquely represent a given image by a short string-sequence. This string-sequence is based on a correlation coefficient statistic; where the relationship between two adjacent image-rows/columns is utilized. To generate this string-sequence a given image is divided into small blocks, where each block generates a different string-sequence. The Elliptic Curve Digital Signature Algorithm (ECDSA) is employed to sign these string-sequences to form an image dependant block-based watermark. Experimental results showed that the proposed watermark is highly sensitive to any alteration, and it can identify the location of any modified block in a given image.
KEYWORDS: Digital watermarking, Image processing, Digital imaging, Digital image processing, Cryptography, Visualization, Image quality, Digital image correlation, Information security, Image retrieval
With a rapid growth of digital image distributions, there has been a corresponding surge in digital counterfeiting of confidential documents. Secrecy of documents and copyright protection techniques have been introduced in an attempt to address this growing concern. Recently, digital image watermarks have been proposed to copyright image data. In this paper a new Digital Image Authentication System is proposed. This system is designed to detect any small change made in an image, including any alteration in pixel values or image size. It uses a watermarking scheme, which is based on correlation coefficient statistics, the Secure Hash Algorithm (SHA-1), and the Elliptic Curve Digital Signature algorithm (ECDSA). The generated signature is then embedded in the image spatial domain. Experimental results show that this system has the ability to accurately authenticate images, while preserving their quality.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.