Advances in digital image techniques has simplifieded the task of image manipulation. Traces of image tam-
pering by software can be easily covered.This undermines the credibility of digital images. Establishing the
authenticity of digital images is important as digital images are used in a wide number of applications related
to military, law enforcement, surveillence, intelligence etc.
In our work,we use passive techniques to categorise an image as an authentic image or a manipulated image.Our procedure is blind to the kind of tampering that
might have been done on the image.Finally,we attempt to find the regions of tampering in manipulated images.
Click here for the project proposal.
Click here for the project report.
Click here to download the test data set.
Click here to download the training data set.
Click here to download the list of manipulated images in the training set.
Click here to download the list of manipulated images in the test set.
Click here for the MATLAB scripts