基于小波变换的运动目标检测视频水印算法.docx

基于小波变换的运动目标检测视频水印算法
摘要
随着网络技术的快速发展和互联网的普及，数字视频成为了人们获取信息和娱乐方式的重要源泉。然而，数字视频的高质量也带来了冒充、破解、篡改等问题，其中水印是一种较为有效的解决方案。本文提出一种基于小波变换的运动目标检测视频水印算法。该算法首先使用小波分解方法对视频进行处理，取高频部分进行运动目标检测，使用随机跳变的策略进行水印嵌入，最终得到了一组能够抵御攻击的视频水印。通过对比实验验证，本文算法具有较好的鲁棒性和稳定性，并能够在不影响视频质量的情况下完成水印嵌入。
关键词：小波变换、运动目标检测、视频水印、鲁棒性
Introduction
Withtherapiddevelopmentofnetworktechnologyandthepopularityoftheinternet,digitalvideohasbecomeanimportantsourceofinformationacquisitionandentertainment.However,thehighqualityofdigitalvideoalsobringsproblemssuchasimpersonation,cracking,andtampering.Watermarkingisaneffectivesolution.Inrecentyears,variousdigitalwatermarkingalgorithmshavebeenproposed.Amongthem,videowatermarkingisapopularresearchdirectionbecauseithasawiderangeofapplicationsincopyrightprotection,authenticityrecognition,andvideocontenttracking.Inthispaper,weproposeavideowatermarkingalgorithmbasedonwavelettransformandmotiontargetdetection.
RelatedWorks
Therearemanyexistingvideowatermarkingalgorithms,includingspatialdomainwatermarking,frequencydomainwatermarking,andtransformdomainwatermarking.Thespatialdomainwatermarkingalgorithmdirectlyembedsthewatermarkinformationintothepixelvaluesoftheoriginalvideo,whichhasalowembeddingcapacityandisvulnerabletoattacks.Thefrequencydomainwatermarkingalgorithmembedswatermarkinformationintothefrequencycomponentsofthevideosignal,suchastheDiscreteFourierTransform(DFT)andtheDiscreteCosineTransform(DCT).However,thistypeofalgorithmissensitivetoattacksbecausemostofthefrequencycomponentsofthevideosignalarelightlyprotected.Transformdomainwatermarkingalgorithmsareembeddedinthedomaintransformedbytheoriginalvideosignal.Thistypeofalgorithmhasgoodrobustnessandcaneffectivelyresistvariousattacks.
Method
Theproposedalgorithmconsistsofthreemainsteps:wavelettransform,motiontargetdetection,andwatermarkembedding.
WaveletTransform
Wavelettransformisasignalprocessingtechniquethatdecomposesasignalintodifferentfrequencybands.Itiswidelyusedinimageandvideoprocessing.Thewavelettransformofavideosequencecanbeobtainedb