Visual-saliency-based image non-watermark algorithm and image copyright authentication method

A zero-watermark, significant technology, applied in the field of information hiding, can solve the problems of not well reflecting the characteristics of eigenvalues ​​and affecting the stability of eigenvalues

Inactive Publication Date: 2012-02-15
HOHAI UNIV
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Problems solved by technology

[0004] An image often has a lot of background, especially an image with a simple background. Most of the existing zero-watermark algorithms extract features from the entire image and cannot well reflect the characteristics of the feature value based on the image content.
And filtering, noise pollution and other operations, the interference to the background part will greatly affect the stability of the extracted eigenvalues

Method used

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  • Visual-saliency-based image non-watermark algorithm and image copyright authentication method
  • Visual-saliency-based image non-watermark algorithm and image copyright authentication method
  • Visual-saliency-based image non-watermark algorithm and image copyright authentication method

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Embodiment Construction

[0108] In a specific embodiment, we select an RGB image named Airplane whose size is 512×512 as the test object. In the image matching algorithm based on the combination similarity of feature points, the radial basis function (RBF) is selected as the kernel function for spatial mapping, and the KL divergence is used to measure the probability distance between two combinations, which is expressed by formula (4), ( 6) It can be seen that it depends on the number of feature pairs r a and r b (here, take r a = r b =1) and the RBF kernel width σ (here, σ=0.5). The specific implementation process is as follows (such as Figure 5 shown):

[0109] A01. Use the Koch and Itti visual attention mechanism model to analyze the saliency of the original image Airplane with a size of 512×512, and obtain a comprehensive visual saliency map saliencyMap a In (32×32, mapLevel=5), the salient points are arranged according to the rule of significance degree from strong to weak, and the first t...

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Abstract

The invention discloses a visual-saliency-based image non-watermark method and belongs to the technical field of information hiding. The visual saliency based image non-watermark algorithm is characterized by introducing a KochandItti visual attention mechanism model to automatically analyze and divide an image saliency region, executing SIFT (scale invariant feature transform) feature extraction on the image saliency region, further screening the extracted feature information, and registering the screened feature information as non-watermark information which identifies the image uniquely. The invention further discloses an image copyright authentication method based on the non-watermark algorithm. The algorithm has better robustness to synchronization attacks and regular image processing for moderate image geometric distortion, filtering, noise pollution and the like, thus providing a new way for protecting and authenticating copyright of digital images.

Description

technical field [0001] The invention belongs to the technical field of information hiding, and in particular relates to an image zero-watermark algorithm based on visual salience, and a method for digital image copyright authentication based on the algorithm. Background technique [0002] With the rapid development and wide application of Internet and multimedia technology, the storage, processing and transmission of digital multimedia information (image, video, audio, etc.) has become more and more convenient and fast. The problems exposed by it are becoming more and more obvious: it is easier to infringe on works, and it is more convenient to tamper with. In this background, digital watermarking technology, which can effectively implement copyright protection, emerges as the times require. [0003] Generally speaking, most existing digital image watermarking technologies embed the watermark by modifying the spatial domain information or transform domain information of the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/00
Inventor 严勤王亚朋施惠娟徐淮杰张二芬
Owner HOHAI UNIV
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