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

Robust Detection of Intensity Variant Clones in Forged and JPEG Compressed Images