In order to improve the invisibility and the robustness of semi-fragile watermarking, the paper first brings up the idea which embedding watermark based on the attackspsila characteristic, brings forward the region segmentation operator and the double-step embedding method. The paper puts forward the characteristic and its representation in DWT transform domain based on visual features model, and brings forward the quantized central limit theorem which applies to adjusting the coefficients in general transform domain. These all make semi-fragile water marking embedded through dynamic quantization and achieve the greatest robustness. It gives wavelet transform domain coefficient redressal operator and the best restore probability of the pixel value adjustment in experiments when the images were under attack. It leads up to a better invisibility of carrier image, a better robustness to the image processing, such as JPEG compression, noise adding, filtering, and the larger amount of embedded information. Whatpsilas more, it can ascertain the position of vicious attack exactly.

Notice of Retraction Semi-fragile Image Watermarking Algorithm Based on Double-Step

In order to improve the invisibility and the robustness of semi-fragile watermarking, the paper first brings up the idea which embedding watermark based on the attacks’ characteristic, brings forward the region segmentation operator and the image-segmentation embedding method, puts forward the characteristic and its representation in DWT transform domain based on visual features model, and brings forward the quantized central limit theorem which applies to adjusting the coefficients in general transform domain. These all make semi-fragile watermarking embedded through dynamic quantization achieve the greatest robustness. It gives wavelet transform domain coefficient redressal operator and the best restoration probability of the pixel value adjusting in experiments when the images were under attack. It leads up to a better invisibility of carrier image, a better robustness to the image processing, such as JPEG compression, noise adding, filtering, and the larger amount of embedded information. What’s more, it can ascertain the position of vicious attack exactly.

/pdf/semi-fragile-image-watermarking-algorithm-based-on-region-33a1mk67rb.pdf

Semi-fragile Image Watermarking Algorithm Based on Region-Segmentation

An image classification method based on wavelet transform was brought up, and it adopted the human visual features model and analyzed the image parameter characteristics in smooth and texture regions. It put up optimum carrier image selecting method of original image to be hidden while analyzing the differences between the carrier and being hidden image. On the premise of setting a threshold, it made the carrier image selection being adaptive and effective. Compared with the current typical methods of image hiding, our algorithm has a better effect in image hiding and extracting. Its computation efficiency has been significantly improved, and the security of the algorithm is also higher.

Adaptive Image Hiding Algorithm Based on Classification

The wavelet transform has become popular in image compression, and it is shown to be superior to most other traditional transform techniques. This paper analyzes the characteristics of an image compression method based on wavelet transformation. This method offers a high ratio of compression while maintaining a good image quality because of its ability to concentrate energy, reduce noice, edge detection, efficient calculation and adaptability etc..

Research on the Wavelet Transform in Image Compression

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Research on the Wavelet Transform in Image Compression