Digital Image Forgery Detection based on Expectation Maximization Algorithm
Mohammed Hazim Alkawaz, Maran Tamil Veeran, Ruzi Bachok
Abstract
With the development of high-resolution digital cameras and photographs the probabilities of images and pictures being forged is high as the photographers have the ability to manipulate and forge the images as they desire. This can lead to a misuse of technology as forgery can lead to a maj or crime or difference in important and critical situation or places such as court, hospital and also education system. This project planned to analyses a digital image by mistreatment EM rule. The rule was enforced at intervals MATLAB and run on a sample library of cast and unmodified pictures, including a variety of pictures from Associate in Nursing Multi meddling dataset.
Topics & Concepts
Computer scienceMATLABImage (mathematics)Artificial intelligenceMaximizationComputer visionVariety (cybernetics)Digital imageSample (material)Image processingMathematicsOperating systemChemistryMathematical optimizationChromatographyDigital Media Forensic DetectionGenerative Adversarial Networks and Image SynthesisAdvanced Steganography and Watermarking Techniques