Image Splicing Detection Using Generalized Whittaker Function Descriptor

作     者：Dumitru Baleanu Ahmad Sami Al-Shamayleh Rabha W.Ibrahim 

作者机构：Department of MathematicsCankaya UniversityAnkara06530Turkey Institute of Space SciencesMagurele-BucharestR76900Romania Department of Medical ResearchChina Medical University40402Taiwan Department of Networks&CybersecurityFaculty of Information TechnologyAl-Ahliyya Amman UniversityAl-SaltAmman19328Jordan Near East UniversityMathematics Research CenterDepartment of MathematicsNear East BoulevardPC:99138Nicosia/Mersin 10–Turkey 

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

年 卷 期：2023年第75卷第5期

页      面：3465-3477页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0805[工学-材料科学与工程（可授工学、理学学位）] 0802[工学-机械工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：We would like to extend our appreciation to Al-Ahliyya Amman University for providing all necessary support to conduct this research work 

主　　题：Image forgery image authentication fractional calculus k-symbol Whittaker function texture features SVM 

摘      要：Image forgery is a crucial part of the transmission of misinformation,which may be illegal in some *** powerful image editing software has made it nearly impossible to detect altered images with the naked *** must be protected against attempts to manipulate *** authentication methods have gained popularity because of their use in multimedia and multimedia networking *** were made to address the consequences of image forgeries by creating algorithms for identifying altered *** image tampering detection targets processing techniques such as object removal or addition,identifying altered images remains a major challenge in *** this study,a novel image texture feature extraction model based on the generalized k-symbolWhittaker function(GKSWF)is proposed for better image forgery *** proposed method is divided into two *** first stage involves feature extraction using the proposed GKSWF model,followed by classification using the“support vector machine(SVM)to distinguish between authentic and manipulated *** extracted feature from an input image is saved in the features database for use in image splicing *** proposed GKSWF as a feature extraction model is intended to extract clues of tampering texture details based on the probability of image *** tested on publicly available image dataset“CASIAv2.0(ChineseAcademy of Sciences,Institute of Automation),the proposed model had a 98.60%accuracy rate on the YCbCr(luminance(Y),chroma blue(Cb)and chroma red(Cr))color spaces in image block size of 8×8 *** proposed image authentication model shows great accuracy with a relatively modest dimension feature size,supporting the benefit of utilizing the k-symbol Whittaker function in image authentication algorithms.