  Digitization of images has made image editing easier. Ease of image editing
tempted users and professionals to manipulate digital images leading to digital
image forgeries. Today digital image forgery has posed a great threat to the
authenticity of the popular digital media, the digital images. A lot of
research is going on worldwide to detect image forgery and to separate the
forged images from their authentic counterparts. This paper provides a novel
intensity invariant detection model (IIDM) for detection of intensity variant
clones that is robust against JPEG compression, noise attacks and blurring.
