简介：Inthisdissertation,sereralkeyproblemsinthefieldofsteganographicimagesecurityaremainlystudiedanddiscussed:(1)Anovelkindofimagecryptosystemisstudied.Theencryptedinformationofsecretimageisembeddedintoanordinaryimage,whichcanbetransmittedpublicly,anditwillnotcauseattentionofillegaleavesdropper.Thefollowingresultsareachieved:(a)Theimagehidingalgorithmanditsimprovedalgorithmbasedonwavelettransformandvectorquantizationareproposed,andbothalgorithmsembedthesecretimageaftertakingfulladvantageofwavelettransform(WT)tocompressit.(b)IntroducingtheCDMAconceptincommunicationtheory,anovelkindofimagecryptosystem—imagehidingcryptosystemofimagedivisionmultipleaccessisproposed.Weencryptkeyinformationofseveralsecretimagesandthenhidethemintoanimage,whichisanordinaryimage.Afterreceiversgettheimage,eachreceivercanrestorecorrespondingsecretimageindependently.Comparedwithotherimageencryptionalgorithms,ournewimagehidingcryptosystemcancompresssecretimagedataefficiently.Moreover,thesecurityandpracticabilityofoursystemisbetter.(2)Digitalwatermarkingisthemostimportantbranchofinformationhiding,whichhasbeenthehotspotofinternationalacademia.Digitalwatermarkinghasbeenproposedasasolutiontotheproblemofcopyrightprotectionofmultimediadocumentsinnetworkedenvironments.Inthisfield,thefollowingresultsareachieved:(a)AnewfrequencyinformationhidingandwatermarkingalgorithmbasedonWTandDiscreteCosineTransform(DCT)ispresented.AftercompressedbyWT,theinformationofsecretimageisembeddedintoDCTdomain.ThealgorithmhasgoodimperceptibilityandsecurityandisrobustagainstJPEGcompressingandcropping.Thealgorithmcanbeusedtoembedwatermarkintoimages,andthewatermarkmaybeone256-colorpictureormoreandmorethanonesecretimagecanbehiddenintoasinglecarrierimage.(b)Anovelwatermarkingalg

简介：Anovelparadigmforfractalcodingselectivelycorrectsthefractalcodeforselecteddomainblockswithanimage-adaptiveVQcodebook.Thecodebookisgeneratedfromtheinitialuncorrectedfractalcodeandis,therefore,availableatthedecoder.Anefficienttrade-offisgeneratedbetweenincrementalperformanceandbitrate.

简介：Imagesegmentation,asabasicbuildingblockformanyhigh-levelimageanalysisproblems,hasattractedmanyresearchattentionsoveryears.Existingapproaches,however,aremainlyfocusingontheclusteringanalysisinthesinglechannelinformation,i.e.,eitherincolororspatialspace,whichmayleadtounsatisfactorysegmentationperformance.Consideringthespatialandcolorspacesjointly,thispaperproposesanewhierarchicalimagesegmentationalgorithm,whichalternatelyclusterstheimageregionsincolorandspatialspacesinafinetocoarsemanner.Withoutlosingtheperceptualconsistence,theproposedalgorithmachievesthesegmentationresultusingonlyveryfewnumberofcolorsaccordingtouserspecification.

简介：这份报纸试图介绍一种交互颜色自然图象分割方法。这个方法由使用非线性的紧缩的结构张肌(NCST)然后使用GrabCut方法获得分割提取图象的特征。这个方法不仅认识到质地信息和颜色信息的非参量的熔化，而且改进计算的效率。然后，改进GrabCut算法被用来评估前景目标分割。以便计算简洁和效率，这份报纸也扩大构造的Gaussian混合模型(GMM)到张肌空间的GrabCut上的底，和使用Kullback-Leibler(KL)分叉而不是平常的Riemannian几何学。最后，一个重复集中标准被建议与满足的分割精确性戏剧性地减少GrabCut算法的重复的时间。在在合成质地图象和自然图象上进行很多实验以后，结果证明这个方法有更精确的分割效果。

简介：Atechnologyforcombiningdigitalwatermarkswithtwo-colorbitmapimageonthethresholdwatermarkingmethodispresented.Ourtechnologydoesn'taddanythingtothedigitalmedia,butcombinesthewatermarksintwo-colorbitmapimagebylookingforsomecharacteristicvaluesinthebitmapandusestherelationshipbetweenthewatermarksandthecharacteristicvaluestoprovethecopyrightprotection.Thechoiceofthecharacteristicvaluesdependsonthechoiceofacryptographickeyknownbytheownerofthebitmap.Thebenefitofusingacryptographickeyistocomginethewatermarkswiththebitmapinahighsecureway.

简介：纸为同时的图象分类和注解建议一个新奇概率的生产模型。模型考虑范畴信息能为图象注解提供珍贵信息的事实。一旦一幅图象的范畴被查明，注解词的范围能被缩小，并且产生无关的注解词的概率能被减少。到这个目的，根据班注解图象的想法在模型被介绍。用变化方法，模型的近似推理和参数评价算法被导出，并且为分类并且注解新图象的有效近似也被给。我们的模型的力量在二真实世界数据集上被表明：1600图象LabelMe数据集和1791图象UIUC运动数据集。实验结果证明分类表演与几个最先进的分类模型同样，当注解表演比几个最先进的注解模型的好时。

简介：

简介：录像显示器单位(VDU)的显示器图象能被收到并且分析意外电磁的噪音重建从一个个人计算机系统发出了。这个事实是在信息安全的信息漏威胁之一。因此，有效地并且快速形成PC显示以便为收到电磁的妥协辐射选择最好的频率范围，一个方法基于关联电源分析(CPA)和普通设备被建议。第一，当PC正在显示白黑色的垂直脱衣图象和黑图象时，到1GHz的10MHz的频率光谱分别地被测量大约10次。包含显示信息的频率范围能通过CPA被获得。然后，特殊图象信号在点频率和泛音附近被寻找。如果当显示全部的黑图象时，特殊信号消失，是真实特殊信号能被判定。最后，最好的收到频率范围能被全面考虑选CPA和信号的结果到特殊图象信号的噪音比率(SNR)。为了检查选择频率的有效性，变化，偷听实验被执行。结果证明选择频率范围能比另外的频率乐队检索高质量的图象。