  Copy-move forgery is one of the simple and effective operations to create
forged images. Recently, techniques based on singular value decomposition (SVD)
are widely used to detect copy-move forgery (CMF). Some approaches based on SVD
are most acceptable to detect copy-move forgery but some copy-move forgery
detection approaches can not produce satisfactory detection results. Sometimes
these approaches may even produce error results. According to our observation,
detection result produced using SVD depend highly on those parameters whose
values are often determined with experiences. These values are only applicable
to a few images, which limit their application. To solve this problem, a novel
approach named as copy-move forgery detection using Cuckoo search algorithm
(CMFD-CS) is proposed in this paper. CMFD-CS integrates the CS algorithm into
SVD. It utilizes the CS algorithm to generate customized parameter values for
images, which are used CMFD under block-based framework.
