Description: 形状特征的七个不变矩，用matlab实现-Shape characteristics of the seven moment invariants, using matlab to achieve Platform: |
Size: 1024 |
Author:何宇 |
Hits:
Description: Coefficients a and b control the low and high frequency ranges that the watermark affects. Because of the watermark invariant properties, we embed the watermark only in the Fourier descriptor magnitude. We use the inverse Fourier transform of the Fourier coefficients to produce the watermarked curve L . This watermarking method is also applicable in the control points of B-spline contour representations. In both polygonal curves and in B-spline curves, watermark embedding can create curve discontinuities or curve self-crossing. Platform: |
Size: 265216 |
Author:Mr Leo |
Hits:
Description: Abstract—A novel image watermarking algorithm against
geometric attacks is proposed to solve watermarking
synchronization problems. In watermark embedding, firstly,
watermark is embedded into host image by a Single Value
Decomposition (SVD) method then, feature-points of
watermarked image are extracted using Scale Invariant
Feature Transform (SIFT) algorithm.-Abstract—A novel image watermarking algorithm against
geometric attacks is proposed to solve watermarking
synchronization problems. In watermark embedding, firstly,
watermark is embedded into host image by a Single Value
Decomposition (SVD) method then, feature-points of
watermarked image are extracted using Scale Invariant
Feature Transform (SIFT) algorithm. Platform: |
Size: 13861888 |
Author:tarun rathi |
Hits:
Description: A digital image watermarking scheme must be robust against a
variety of possible attacks. In the proposed approach, a new
rotation and scaling invariant image watermarking scheme is
proposed based on rotation invariant feature and image
normalization. The rotation invariant features are extracted
from the segmented areas and are selected as reference points.
Sub-regions centered at the feature points are used for
watermark embedding and extraction. Image normalization is
applied to the sub-regions to achieve scaling invariance. In the
scheme, first, the image is segmented into a number of
homogeneous regions and the feature points are extracted. Then
the circular regions for watermark embedding or extraction are
defined. Based on the image normalization and orientation
assignment, the rotation, scaling, and translation invariant
regions can be used for watermark embedding and extraction. Platform: |
Size: 1475584 |
Author:prasannakumar |
Hits:
Search - invariant watermarking