Watermarking algorithm based on a human visual model
Signal Processing
Content based watermarking of images
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Perceptual quality metrics applied to still image compression
Signal Processing - Special issue on image and video quality metrics
A Stochastic Approach to Content Adaptive Digital Image Watermarking
IH '99 Proceedings of the Third International Workshop on Information Hiding
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Human visual system based adaptive digital image watermarking
Signal Processing
Robust Watermarking in DoG Scale Space Using a Multi-scale JND Model
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Region duplication detection using image feature matching
IEEE Transactions on Information Forensics and Security
Feature-based image watermarking method using scale-invariant keypoints
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II
Image-adaptive watermarking using visual models
IEEE Journal on Selected Areas in Communications
Visibility of wavelet quantization noise
IEEE Transactions on Image Processing
Improved wavelet-based watermarking through pixel-wise masking
IEEE Transactions on Image Processing
A SIFT-Based Forensic Method for Copy–Move Attack Detection and Transformation Recovery
IEEE Transactions on Information Forensics and Security - Part 2
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For most HVS(Human Visual System) perceptual models, the JND (Just Noticeable Difference) values in highly-textured image regions have little difference with those in edge areas. This is not consistent with the characteristics of human vision. In this paper, an improved method is introduced to give a better content-based perceptual mask than traditional ones using the arrangement of scale-invariant feature points. It could decrease the JND values in edge areas of those traditional masks so that they have an obvious difference with values in highly textured areas. Experimental results show the advantages of this improved approach visually, and the enhancement of the invisibility of watermarks.