A digital watermarking technique is a specific branch of steganography, which can be used in various applications,
provides a novel way to solve security problems for multimedia information. In this paper, we proposed a kind of
wavelet domain adaptive image digital watermarking method using chaotic stream encrypt and human eye visual
property. The secret information that can be seen as a watermarking is hidden into a host image, which can be publicly
accessed, so the transportation of the secret information will not attract the attention of illegal receiver. The experimental
results show that the method is invisible and robust against some image processing.
There are two ways for transmitting data in a secure manner: Cryptography and steganography. Digital watermarking is a
specific branch of steganography, which can be used in various applications, including covert communication, owner
identification, authentication and copy control. In this paper, we proposed a blind adaptive watermarking algorithm
based on HVS is proper for covert communication. The secret information that can be seen as a watermarking is hidden
into a host image, which can be publicly accessed, so the transportation of the secret information will not attract the
attention of illegal receiver. With our approach, the secret information is embedded in the wavelet domain. By the
background luminance and the texture mask characters of HVS, we divide the wavelet coefficients of carrier image into
different classes. According to the classes of the wavelet coefficients the watermark image is embedded. The result of
our experimental shows that this approach is imperceptible and robust some image processing such as JPEG lossy
compression, cropping, median filtering, grads sharpening, Gaussian white noise attacks and so on.
Digital watermarking is an efficacious technique to protect the copyright and ownership of digital information. But in the traditional methods of watermarking images, the information of original image will be distorted more or less. Facing this problem, a new watermarking approach, zero-watermarking technique, is proposed. The zero-watermarking approach changes the traditional doings that watermarking is embedded into images, and makes the watermarked image distortion-free. Zero-watermarking can successfully solve the conflict between invisibility and robustness. In this paper, a digital image zero-watermarking method based on discrete wavelet transform and chaotic modulation is proposed.
The zero-watermarking algorithm based on DWT and chaos modulation consists of watermark embedding and detecting processes.
The watermark embedding process is as follow:
First, the original image is decomposed to three-level in wavelet domain. Second, some low frequency wavelet coefficients of original image are selected. The selection of the wavelet coefficients is random by chaotic modulation. Third, the character of coefficients selected is used to construct the character watermark. For each coefficient, in comparison with the adjacent coefficient, we can get the character watermark.
The watermark extracting process is invert process. The location of the coefficients being extracted is also determined by chaotic sequence.
The experimental results show that the watermarking method is invisible and robust against some image processing such as median filtering, JPEG compression, additive Gaussian noise, cropping and rotation attacks and so on. If the initial value of chaos is unknown, the character watermarking can't be extracted correctly.
Recently the protection of digital information has received significant attention and lots of techniques have been proposed. Digital watermarking is an efficacious technique to protect the copyright and ownership of digital information. Since 90' various implementation approaches about digital watermarking have been presented. In this paper, an adaptive blind watermarking algorithm for still images is proposed based on discrete wavelet transform. The wavelet theory mainly used in the multi-resolution analysis and recently has been applied to watermarking technique. In order to be more robust, the embedding strength is decided based on the background luminance and the texture mask characters of HVS, which is adaptive to the carrier image. The experimental results show that the watermarked image has a good quality of image, watermark is imperceptibility, the algorithm is robust against some image processing such as median filtering, JPEG lossy compression, additive Gaussian noise and cropping attacks and so on. Hence our method can be used to protect effectively property right of digital images.
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