  In this contemporary world digital media such as videos and images behave as
an active medium to carry valuable information across the globe on all fronts.
However there are several techniques evolved to tamper the image which has made
their authenticity untrustworthy. CopyMove Forgery CMF is one of the most
common forgeries present in an image where a cluster of pixels are duplicated
in the same image with potential postprocessing techniques. Various
state-of-art techniques are developed in the recent years which are effective
in detecting passive image forgery. However most methods do fail when the
copied image is rescaled or added with certain intensity before being pasted
due to de-synchronization of pixels in the searching process. To tackle this
problem the paper proposes distinct novel algorithms which recognize a unique
approach of using Hus invariant moments and Discreet Cosine Transformations DCT
to attain the desired rescale invariant and intensity invariant CMF detection
techniques respectively. The experiments conducted quantitatively and
qualitatively demonstrate the effectiveness of the algorithm.
