ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Robust object-based watermarking scheme via shape self-similarity segmentation
Pattern Recognition Letters
A secure and robust object-based video authentication system
EURASIP Journal on Applied Signal Processing
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
A new object-based image watermarking robust to geometrical attacks
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
A feature-based robust digital image watermarking scheme
IEEE Transactions on Signal Processing
Geometrically invariant watermarking using feature points
IEEE Transactions on Image Processing
A novel color image watermarking scheme in nonsampled contourlet-domain
Expert Systems with Applications: An International Journal
A robust content based image watermarking using local invariant histogram
Multimedia Tools and Applications
Geometrically invariant image watermarking using SVR correction in NSCT domain
Computers and Electrical Engineering
A new SVM-based image watermarking using Gaussian-Hermite moments
Applied Soft Computing
Journal of Visual Communication and Image Representation
Hi-index | 0.00 |
We present a robust object-based watermarking algorithm using the scale-invariant feature transform (SIFT) in conjunction with a data embedding method based on Discrete Cosine Transform (DCT). The message is embedded in the DCT domain of randomly generated blocks in the selected object region. To recognize the object region after being distorted, its SIFT features are registered in advance. In the detection scheme, we extract SIFT features from the distorted image and match them with the registered ones. Then we recover the distorted object region based on the transformation parameters obtained from the matching result using SIFT, and the watermarked message can be detected. Experimental results demonstrated that our proposed algorithm is very robust to distortions such as JPEG compression, scaling, rotation, shearing, aspect ratio change, and image filtering.