A Novel Least Distortion Linear Gain Model for Halftone Image Watermarking Incorporating Perceptual Quality Metrics

Author(s):  
Weina Jiang ◽  
Anthony T. S. Ho ◽  
Helen Treharne
2013 ◽  
Vol 416-417 ◽  
pp. 1210-1213
Author(s):  
Hua Wen Ai ◽  
Ping Feng Liu ◽  
Sheng Cong Dong

In order to resist print and scan attacks, a kind of digital halftone image watermarking algorithm is proposed, which is based on the edge detection and improved error diffusion. The edge of gray image is gotten using canny detection. Calculate the noise visibility function values of the edge points. Then, sort the values in ascending order and select the size that equal to the length of watermark as the location of watermark embedding. While the grayscale image turns to halftone image using the improved error diffusion algorithm, binary watermark is embedded in the edge position. Watermark is pretreated with Arnold before embedding to improve the safety of watermark. Experiment results show that the algorithm is good resistance to print and scan attacks, while resistance to shearing, noise and jpeg compression attacks.


2011 ◽  
Vol 20 (11) ◽  
pp. 3207-3218 ◽  
Author(s):  
Fan Zhang ◽  
Wenyu Liu ◽  
Weisi Lin ◽  
King Ngi Ngan

2005 ◽  
Author(s):  
Z. Tifedjadjine ◽  
N. Atamna ◽  
Z. Dibi ◽  
A. Bouridane

2019 ◽  
Vol 5 (1) ◽  
pp. 20 ◽  
Author(s):  
Michael Osadebey ◽  
Marius Pedersen ◽  
Douglas Arnold ◽  
Katrina Wendel-Mitoraj

Noise-based quality evaluation of MRI images is highly desired in noise-dominant environments. Current noise-based MRI quality evaluation methods have drawbacks which limit their effective performance. Traditional full-reference methods such as SNR and most of the model-based techniques cannot provide perceptual quality metrics required for accurate diagnosis, treatment and monitoring of diseases. Although techniques based on the Moran coefficients are perceptual quality metrics, they are full-reference methods and will be ineffective in applications where the reference image is not available. Furthermore, the predicted quality scores are difficult to interpret because their quality indices are not standardized. In this paper, we propose a new no-reference perceptual quality evaluation method for grayscale images such as MRI images. Our approach is formulated to mimic how humans perceive an image. It transforms noise level into a standardized perceptual quality score. Global Moran statistics is combined with local indicators of spatial autocorrelation in the form of local Moran statistics. Quality score is predicted from perceptually weighted combination of clustered and random pixels. Performance evaluation, comparative performance evaluation and validation by human observers, shows that the proposed method will be a useful tool in the evaluation of retrospectively acquired MRI images and the evaluation of noise reduction algorithms.


2003 ◽  
Author(s):  
Passant V. Karunaratne ◽  
Aggelos K. Katsaggelos ◽  
Thrasyvoulos N. Pappas

Author(s):  
Qifeng Chen ◽  
Guangxue Chen ◽  
Shuangshuang Wen ◽  
Jinglei Tai

2015 ◽  
Vol 7 (1) ◽  
pp. 51-68 ◽  
Author(s):  
Yuanfang Guo ◽  
Oscar C. Au ◽  
Ketan Tang

Error Diffusion has been widely adopted in the printing industry due to its good visual quality and simple implementation. However, error diffusion still possesses its own deficiencies. Thus multiscale error diffusion (MED) has been developed, and this method outperforms traditional error diffusion according to extensive research results. The majority of previous halftone image watermarking techniques cannot be directly applied to MED halftone images. Since there is no halftone visual watermarking (HVW) method for MED halftone images in existing methods, we propose the first HVW method for MED halftone images, Copyright Protecting Multiscale Error Diffusion (CoP-MED), in this paper. By adopting the visual cryptography principle, CoP-MED can effectively embed a secret pattern into two MED halftone images, where the secret pattern can be decoded clearly by simply overlaying the two stego halftone images or performing not-exclusive-or operation between them. Parameter selection is also discussed based on the experimental results. Later, in comparison tests, CoP-MED shows superior performance compared to existing works.


2009 ◽  
Author(s):  
David Hands ◽  
Damien Bayart ◽  
Andrew Davis ◽  
Alex Bourret

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