Origin Classification in Social Network Based on Image Enhancement

摘要

Digital image forensics is a term with different contexts and meaning. The term image forensics is used to designate the survey of the originality of the image file, asses the presence of forgeries and to identify the device in which the picture was occurred. Digital image forensic method is used to maintain image authentication. Image authentication is an accurate representation of the original image. Verification could be fined to ensure digital contents usually pictures and forgeries can be eliminated by using image classification. DCT is used to detect the source of the images from different social networks. For this purpose, an asset of image characterization is defined to determine the origination of digital camera. Interpolation or filtering technologies can be used to eliminate the noise. There by grouping of images enables finding forgeries in the social network. The proposed technique is used to find out traces of the image from the corresponding social networks and such traces can be discovered to identify the platform of the image. Using existing method, it is possible to determine the origin in the social network. Whereas, the further process can be used to find the original JPEG image and it can be converted to give the same quality when it is uploaded on the social network.