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 algorithms the efficiency in the outputs will also be varied. The algorithm that implemented, identifies the forged part in the copy move forged input image. The algorithm is implemented using wavelet transform. For feature extraction, average information, that is, entropy of blocks of the image is calculated. The algorithm could able to identify the forged part in image which was copied and moved or copied, moved and scaled. Due to result efficiency we can use it in identifying forged images in civil, military and in other security essential services.