Application of image editing software for forensic detection of image
The image editing software’s available today is apt for creating visually compelling and sophisticated fake images, which causes major issues to the reliability of digital contents as a right representation of reality. Authenticity is the main problem in most digital image communication. Various forensic techniques have been developed for the verification of image integrity, authentication, and tampering detection. Digital image forensics aims at finding the authenticity of images by recovering history of the image. Image manipulations occur at the time of compression, which means changing the DCT coefficients. Forensic technique is capable of detecting chains of operators that is applied to an image. Here the union of Joint Photographic Experts Group compression and full-frame linear filtering were studied and derived an accurate mathematical framework for fully characterizing the probabilistic distributions of the discrete cosine transform (DCT) coefficients of the image, which gets quantized and filtered. This statistical model is used for deriving a set of significant features from the DCT histogram of the input image; these features were fed to a effective classifier which effectively classifies different combinations of linear filtering and compression.
Keywords: Full- frame linear filtering, JPEG compression, Linear classifier, image forensics