Stereo image zero-watermarking method based on NSCT and SIFT

Abstract

The invention provides a stereo image zero-watermarking method based on NSCT and SIFT, and belongs to the technical field of image encryption and image processing. The stereo image zero-watermarking method based on NSCT and SIFT includes the steps: extracting the low frequency sub-band images of the left and right view point image NSCT transformation domains of a stereo image, taking the parallax image between the low frequency sub-band images as the carrier for extracting the watermarking, performing singular value decomposition on the carrier image, making rules for zero-watermarking extracting, performing XOR on the extracted two-value zero-watermarking image and the copyright sign watermarking image to obtain an authorized zero-watermarking image, and enabling the stereo image to be under protection of the watermarking technique after saving the zero-watermarking image at a registration center. The stereo image zero-watermarking method based on NSCT and SIFT can preferably resist conventional attack, such as various noises, filtering and compression, and especially improves the capability of resisting geometrical attack, so that zero-watermarking embedding cannot change the original image and the quality of image can be guaranteed. Besides, during the watermarking extracting process, the original image is not demanded, so that the stereo image zero-watermarking method based on NSCT and SIFT provides convenience for practical application and can effectively protect the copyright of the stereo image.

Description

Technical field [0001] The invention belongs to the technical field of image encryption and image processing, and specifically relates to a zero-watermark method for stereo images. Background technique [0002] With the continuous development of multimedia technology, traditional single-view plane images can no longer meet people's needs. The scene information provided by single-view images is relatively limited, and the visual experience is not strong enough. Stereoscopic images that can provide depth information can move in different directions. Integrating with information from different angles gives people an immersive feeling and enhances the degree of cognition of objects. Stereoscopic image technology has been applied in many aspects, such as 3D movies, remote conferences, medical, military, etc. Stereo image technology has very good development prospects and applications. [0003] However, due to the rapid development of the Internet, images are easily spread, stolen and ...

AI Technical Summary

Problems solved by technology

The space domain method is simple and easy to implement, but the robustness of the watermark is poor, and it is difficult to resist a variety of attacks; the frequency domain method generally realizes the embedding of the watermark by modifying the coefficients of the frequency domain transformation, and the change of the frequency domain coefficients can be distributed to each Pixels in the airspace, the robustness of the watermark is also improved

However, the stereoscopic image is sent to the left and right eyes of the person through the left and right viewpoint images collected by two cameras, forming binocular parallax, and fused into a real scene in the human brain. Compared with the plane image, more factors need to be considered, such as The link between the left and right viewpoint images cannot simply apply the planar image watermarking method to the stereoscopic image

Moreover, both the traditional spatial domain and transform domain methods will affect the image quality of the stereoscopic image, which may destroy the stereoscopic effect

[0005] There are relatively few studies on stereoscopic image watermarking methods, and the existing methods cannot fully take into account the resistance to conventional attacks and geometric attacks, and ensure that the image quality is not affected

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