Study on digital watermarking algorithm based on Wavelet transform and chaotic encryption

Author(s):  
Yuanmei Wang ◽  
Tao Li
2011 ◽  
Vol 403-408 ◽  
pp. 3054-3058 ◽  
Author(s):  
Yuan Mei Wang ◽  
Tao Li

In the paper a digital watermarking algorithm based on chaotic encryption and wavelet transform is proposed. It uses Arnold transform to encrypt the original watermark image, and then decomposes the original host image to different frequency sub-image, combining with the merits of transform domain watermarking algorithm. The encrypted watermark image is embedded into the low-frequency coefficients of image by wavelet transformation. Experimental results confirm that the algorithm has good robustness.


Author(s):  
Hiroaki Date ◽  
Satoshi Kanai ◽  
Takeshi Kishinami

Abstract Recently, much interest is being taken in a method to protect the copyright of digital data and prevent illegal duplication of it. However, in the area of CAD/CAM and CG, there are no effective ways to protect the copyright of the 3D geometric models. As a first step to solve this problem, a new digital watermarking method for 3D polygonal models is introduced in this paper. Watermarking is one of the copyright protection methods where an invisible watermark is secretly embedded into the original data. The proposed watermarking method is based on the wavelet transform (WT) and multi-resolution representation (MRR) of the polygonal model. The watermark can be embedded in the large wavelet coefficient vectors at various resolution levels of the MRR. This makes the embedded watermark imperceptible and invariant to the affine transformation, and also makes the control of the geometric error caused by the watermarking reliable.


2020 ◽  
Vol 6 (3) ◽  
pp. 92-99
Author(s):  
A. Zhuvikin

One of the most promising application of the digital watermarking is the selective image authentication (SIA) systems. In order to implement such a system one requires an embedding algorithm with an appropriate capacity. In addition, an embedding method is to be robust for the class of non-malicious manipulations which the SIA system is designed for. We propose the new method which has a significant embedding capacity while still being tolerant to JPEG compression, brightness and contrast adjustments. This was possible due to the extension of the well-known discrete wavelet transform embedding technique. We propose two-step embedding scheme and the use of image histogram equalisation and recovering operations. The experiment results show acceptable tolerance to JPEG compression, brightness and contrast adjustments with good visual quality in terms of PSNR just after embedding.


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