With the development of the internet,video digital watermarking has become an important technology for protecting the copyright of video digital content and preventing illegal distribution.It is a technology that can embed specific information into video digital content for the purpose of tracking and verifying the source of the content.By using its core algorithms to enhance the level of digital copyright protection,watermark information can be hidden in the redundant data of the video without affecting the value of the video itself,thereby achieving the purpose of copyright protection.Under the influence of market demand,video digital watermarking technology has recently attracted the attention of relevant industries again.However,traditional video digital watermarking technology has poor resistance to geometric attacks.Faced with geometric attacks such as cropping and stretching,traditional video digital watermarking technology is unable to effectively restore watermark information,greatly weakening its anti-theft performance.Therefore,digital watermarking technology that is resistant to geometric attacks has emerged,which can ensure the extraction of watermark information when facing geometric attacks.The main research work and innovative content of this paper are as follows:1)In view of the problem of low embedding capacity during the histogram watermarking embedding process,this paper proposes a 3Bin hexadecimal histogram digital watermarking algorithm.Firstly,a suitable histogram embedding interval is selected through an appropriate truncation threshold.Then,the embedding threshold is adjusted according to the size of the watermark information and the size of the carrier image.Finally,the pixel modification quantity and pixel modification strategy on the adjacent 3Bins of the histogram are determined to embed and extract watermark information.Experimental results show that the capacity of embedding watermark information with this algorithm has doubled,verifying the effectiveness of the algorithm,and that this algorithm has high robustness.2)In view of the situation where important content of the image will be retained when the image is subjected to malicious geometric attacks,this paper proposes a feature point extraction algorithm based on the difference of grayscale around pixel points.Compared with traditional feature point extraction algorithms,the algorithm proposed in this paper extracts feature points on important information positions of the image,ensuring that watermark information around feature points will not be removed by geometric attacks.Experimental results show that the feature points extracted by this algorithm can still be fully extracted when facing scaling,rotation,noise and other geometric attacks,verifying the effectiveness of the algorithm.The anti-theft performance of video digital watermarking technology depends on its anti-attack ability.When being tampered by lawbreakers,the ability to effectively extract watermark information is an important consideration for digital watermarking technology.The two digital watermarking technologies proposed in this paper have strong robustness and can prevent the synchronous destruction of watermark information embedding and detection locations when facing geometric attacks,effectively preventing lawbreakers from deleting the specific information of the original author by cropping,thereby protecting the copyright interests of the original author.This paper expands the capacity of the histogram digital watermarking technology,which strengthens its versatility.At the same time,a feature selection method more suitable for digital watermarking technology is obtained through the design of a digital watermarking technology that can extract feature points on important information positions of the image.These two methods can pave the way for the widespread application of digital watermarking technology in practical scenarios,so that digital watermarking technology can be better applied to maintaining network copyright security. |