Digital halftoning algorithm is a operation, converting the captured con-tone images to the corresponding binary images
supported by most output devices, which makes the tow kinds of images similar as possible. In order to evaluate the
halftoning algorithms and the corresponding halftones, a criterion must be needed. In the literature, MSE (the Mean
Square Error), SNR (Signal to Noise Ratio) and WSNR(Weight Signal to Noise Ratio) were often used to evaluate the
common con-tone images and the halftones. But these methods do not suit to evaluating the quality of the halftones
because of the special properties of the halftones by different halftoning algorithms and limitation of assumption of these
methods themselves according to many researches. So a series of halftonig algorithm-based methods are proposed,
which adapt to the special properties of halftoning algorithms. All of those methods were not adaptive. In the last part of
this paper, an adaptive method was propose to evaluate the halftoning algorithms and the corresponding halftones, which
is based on the statistical features of the residual image between the original image and the corresponding halftone on the
retinal of human eye.
KEYWORDS: Digital watermarking, Halftones, Image quality, Image processing, Visual process modeling, Printing, Human vision and color perception, Visualization, Data hiding, Systems modeling
The paper discussed the digital watermarking algorithm which embeds watermarking in halftone image in the process of
halftoning. The digital watermarking algorithm based on human vision system (HVS) model which can minimize the
visual error between the embedded watermarking halftone image and the original continuous-tone image using iterative
binary search method. The algorithm can embed large amount of information in halftone image under the precondition
of watermarking invisibility; on the other hand, the extraction of watermarking is reliable. All experiments indicate that
this algorithm can embed more information than other algorithm and has strong robustness, so the algorithm can resist
unconsciously or intentionally attacks which caused by printing, scan, dirty, clip, etc., at the same time, the
watermarking embedded in halftone image using the algorithms has the advantage of invisibility, high vision quality of
halftone image.
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.