Detection of Clones in Digital Images
This work addresses image authentication for fields relying on digital images, but it is incremental as it compares existing methods without introducing new techniques.
The paper experimentally analyzed seven algorithms for detecting cloned regions in digital images, comparing their time complexities and robustness against post-processing operations like cropping and brightness adjustments.
During the recent years, tampering of digital images has become a general habit among people and professionals. As a result, establishment of image authenticity has become a key issue in fields those make use of digital images. Authentication of an image involves separation of original camera outputs from their tampered or Stego counterparts. Digital image cloning being a popular type of image tampering, in this paper we have experimentally analyzed seven different algorithms of cloning detection such as the simple overlapped block matching with lexicographic sorting (SOBMwLS) algorithm, block matching with discrete cosine transformation, principal component analysis, discrete wavelet transformation and singular value decomposition performed on the blocks (DCT, DWT, PCA, SVD), two combination models where, DCT and DWT are combined with singular value decomposition (DCTSVD and DWTSVD. A comparative study of all these techniques with respect to their time complexities and robustness of detection against various post processing operations such as cropping, brightness and contrast adjustments are presented in the paper.