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作者机构:Department of Computer Science and EngineeringSchool of Engineering and TechnologyGIET UniversityGunupurOdishaIndia Department of Computer Science and EngineeringGMRITRajamAndhra PradeshIndia Department of CSEVignan's Foundation for Science Technology and ResearchVadlamudiAndhra PradeshIndia
出 版 物:《CAAI Transactions on Intelligence Technology》 (智能技术学报(英文))
年 卷 期:2022年第7卷第4期
页 面:695-709页
核心收录:
学科分类:08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:hiding capacity(HC) local binary pattern(LBP) peak signal-to-noise ratio(PSNR) reversible data hiding
摘 要:A novel local binary pattern-based reversible data hiding(LBP-RDH)technique has been suggested to maintain a fair symmetry between the perceptual transparency and hiding *** embedding,the image is divided into various 3×3 ***,using the LBP-based image descriptor,the LBP codes for each block are ***,the obtained LBP codes are XORed with the embedding bits and are concealed in the respective blocks using the proposed pixel readjustment ***,each cover image(CI)pixel produces two different stego-image ***,during extraction,the CI pixels are restored without the loss of a single bit of *** outcome of the proposed technique with respect to perceptual transparency measures,such as peak signal-to-noise ratio and structural similarity index,is found to be superior to that of some of the recent and state-of-the-art *** addition,the proposed technique has shown excellent resilience to various stego-attacks,such as pixel difference histogram as well as regular and singular ***,the out-off boundary pixel problem,which endures in most of the contemporary data hiding techniques,has been successfully addressed.