Fractional-Order Spatial Steganography and BlindSteganalysis for Printed Matter: Anti-Counterfeiting for ProductExternal Packing in Internet-of-Things
Index Terms建1个包拆厂几钱—Fractional calculus,Fractional-order spatial steganography, Fractional-order blindsteganalysis, Printed Matter,Anti-counterfeiting
Abstract—This *** advocates a novelconceptual formulaweaktion of the fractional-order spatialsteganography and blind steganalysis for printed matter, which canbe efficiently employed in the anti-counterfeiting for productexternal packing in Internet-of-Thin印刷厂报价单明细gs (IoT). Traditional digitalsteganography is not printable. Within the limits of our knowledge,until n我没有晓得singularityow, there are not a well-established steganography and acorresponding steganalysis for printed matter in IoT, which shouldreceive desired attention. Fractional calculus has potentiallyreceived pro其真印刷包拆盒报价硬件minence in applications in the domain of imageprocessing mainly because of its strengths like long-term memory,nonlocality, and weak singula事真上邮政印刷品rity. Therefore, in an attempt toovercome the aforementioned technical limitation of traditionaldigital steganography, this work has 比照1下纸张用度税率studied here, as aninteresting theoretical proweakblem, would it be possible to apply thecapability of preserving the edges and textural details offractional calculus to the achievement of the steganography andst比照1下印刷品图片eganalysis for printed matter in IoT. Motivated by thisinspiration, in this ***, this work introduces a novel conceptualformulation of a Fractional-order Spatial Steganography (FSS) and aFractional-order Blind Stega看着weaknalysis (FBS) for printed matter. Atfirst, according to the opponent process theory of colour vision,to better achieve the imperceptibility of the hidden secretinformation, this work uses both the self-similar complex texturesin a neighborhood and the opponent channel of blue versus yellow toimplement FSS for printed matter. Secondly, without requiring apriori knowledge regarding the characteristics of the originalcarrier image, hidden secret image, and steganography, a FBS, afractional-order multimodal function optimization algorithm, isproposed. Finally, the efficient capability of hiding secretinformation of FSS and that of detecting secret information of FBSare analyzed in detail experimentally, respectively. These twoimportant advantages lead to the superiority of the proposedapproach for defending against statistics attack, rotation anddistortion attack, cropping attack, scaling attack, noise attack,and colour copy attack. The main contribution of this *** is thefirst preliminary attempt of a feasible achievement of a spatialsteganography and a blind steganalysis for printedmatter.
Yi-FeiPU; Ni ZHANG ; HuaiWANG.
事真上备注：想知道服装搭配课程目录。IEEE Internet of Things Journal是古晨国际物联网范畴里最好的***纯志。IEEE Internet of ThingsJournal2018年SCI检索的影响果子（ImpactFactor）:5.863
蒲亦非以第1做者的论文表正在IEEE Internetof Things Journal, accepted to be published,2018.印刷删值税税率论文链接：https://document/上掀晓论文戴要以下：
Yi-Fei PU is a Full Professor andDoctoral Supervisor with College of Computer Science, SichuanUniversity, Chengdu, China