Securing Digital Images Integrity using Artificial Neural Networks

Sustainable Buildings and Cities

土木建筑工程

Hajji, Tarik^1 ; Itahriouan, Zakaria^1 ; Ouazzani Jamil, Mohammed^1

Laboratoire Systèmes et Environnements Durables (LSED), Faculté des Sciences de l'Ingénieur (FSI), Université Privée de Fès (UPF), Fez, Morocco^1

关键词: Digital image;    Image integrity;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/353/1/012016/pdf
DOI  :  10.1088/1757-899X/353/1/012016

学科分类：土木及结构工程学

来源: IOP

【 摘 要 】

Digital image signature is a technique used to protect the image integrity. The application of this technique can serve several areas of imaging applied to smart cities. The objective of this work is to propose two methods to protect digital image integrity. We present a description of two approaches using artificial neural networks (ANN) to digitally sign an image. The first one is "Direct Signature without learning" and the second is "Direct Signature with learning". This paper presents the theory of proposed approaches and an experimental study to test their effectiveness.