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Survey Paper | Electronics & Communication Engineering | India | Volume 4 Issue 3, March 2015

A Survey on Copy Move Image Forgery Detection Using Wavelet Transform

Akanksha Namdeo ^[2] | Anish Vishwakarma ^[4]

Abstract: Editing of images are very common these days. The process of creating fake images has been very simple with the introduction of powerful computer graphics. Such tempering with digital images is known as image forgery. With the advancement of the digital image processing software and editing tools, a digital image can be easily forged. The detection of image forgery is very important because an image can be used as legal evidence, in investigations, and in many other areas. The pixel-based image forgery detection aims to verify the authenticity of digital images without any prior knowledge of the original image. There are many different ways for tampering an image such as splicing or copy-move, resampling an image that are resize, rotate, stretch, addition and removal of any object from the image. In this we have discussed various pixel-based techniques for image forgery detection

Keywords: Forgery Detection, Dydic Wavelet Transform, Discrete Wavelet Transform, SVD, Image Forencics

Edition: Volume 4 Issue 3, March 2015,

Pages: 876 - 878

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