Distortion Function for Emoji Image Steganography

作     者：Lina Shi Zichi Wang Zhenxing Qian Nannan Huang Pauline Puteaux Xinpeng Zhang 

作者机构：Shanghai Institute for Advanced Communication and Data ScienceSchool of Communication and Information EngineeringShanghai UniversityShanghai200444China Laboratoire d'Informatiquede Robotique et de Microlectronique de MontpellierCentre National de la Recherche ScientifiqueUniversity of MontpellierMontpellier34095France 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2019年第59卷第6期

页      面：943-953页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0801[工学-力学（可授工学、理学学位）] 

基　　金：This work was supported by the Natural Science Foundation of China(U1736213,61572308) the Natural Science Foundation of Shanghai(18ZR1427500),the Shanghai Dawn Scholar Plan(14SG36) and the Shanghai Excellent Academic Leader Plan(16XD1401200). 

主　　题：Steganography emoji image distortion function 

摘      要：Nowadays,emoji image is widely used in social networks.To achieve covert communication in emoji images,this paper proposes a distortion function for emoji images steganography.The profile of image content,the intra-and inter-frame correlation are taken into account in the proposed distortion function to fit the unique properties of emoji image.The three parts are combined together to measure the risks of detection due to the modification on the cover data.With the popular syndrome trellis coding(STC),the distortion of stego emoji image is minimized using the proposed distortion function.As a result,less detectable artifacts could be found in the stego images.Experimental results show that the proposed distortion function performs much higher undetectability than current state-of-the-art distortion function HILL which is designed for natural image.