Dual tree complex wavelet transform approach to copy-rotate-move forgery detection

Copy Move Image Forgery Detection using Wavelet transform

Image manipulation is not a new trend and it exists from the time when photography was innovated. In the recent years, many forgery detection methods and techniques are proposed. Photo image forgery may include Copy-Move Forgery or Cloning and Copy-Create Image Forgery. There are few methods for forgery detection. Though many image forgery detections previously exist, with the change in algorit...

Robust Copy-Move Forgery Detection Based on Dual-Transform

Improved DSIFT Descriptor Based Copy-Rotate-Move Forgery Detection

In recent years, there has been a dramatic increase in the number of images captured by users. This is due to the wide availability of digital cameras and mobile phones which are able to capture and transmit images. Simultaneously, image-editing applications have become more usable, and a casual user can easily improve the quality of an image or change its content. The most common type of image...

Detection of Copy-Rotate-Move Forgery Using Zernike Moments

As forgeries have become popular, the importance of forgery detection is much increased. Copy-move forgery, one of the most commonly used methods, copies a part of the image and pastes it into another part of the the image. In this paper, we propose a detection method of copy-move forgery that localizes duplicated regions using Zernike moments. Since the magnitude of Zernike moments is algebrai...

Copy-Move Forgery Detection using Orthogonal Wavelet Transforms

With the help of various image editing tools available, it has become easier to alter an image in such a way that it does not leave behind any clues. Copy –Move forgery is a type of image forgery in which a part of digital image is copied and pasted to another part of same image. Since the copied and pasted image comes from the same image, it becomes difficult to detect the forgery. Generally t...