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Detection of Image Forgery in Digital Images using DCT and DWT

Nikhila Chacko, Julia Andrews

Abstract


Because of quick advances and availabilities of intense image processing techniques, digital images are rather simple to exploit but difficult to control for ordinary people. Nowadays, image manipulations are widespread in the internet. Due to the increasing amount of data in the world people uses public transfer medias like internet for storing and transferring data. Digital data can be transmitted in a fast and inexpensive way through data communication networks without losing quality. So that most of us are use this way of communication. Malicious users or hackers can use this situation badly. Anyone with a clear knowledge in computer can alter the images by accessing from internet. Copy-move forgery is one of the serious threats in this field. Copying and pasting an image or part of image in the same image is called copy-move forgery. Hence there arises the need of an improved algorithm for diagnosing similar duplicated regions in an efficient manner. In this paper a Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) based algorithm is used to detect copy-move forgery. So that we can ensure the credibility of images in a simple and reliable way.

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References


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