Copy Move Image Forgery Detection using Wavelet transform

Copy Move Image Forgery Detection using Wavelet transform

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2017 by IJETT Journal
Volume-47 Number-4
Year of Publication : 2017
Authors : L.V Santosh Kumar Y, Ch. Sravani, K.S Ravi Kumar
DOI :  10.14445/22315381/IJETT-V47P235

Citation 

L.V Santosh Kumar Y, Ch. Sravani, K.S Ravi Kumar "Copy Move Image Forgery Detection using Wavelet transform", International Journal of Engineering Trends and Technology (IJETT), V47(4),217-221 May 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
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.

 References

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Keywords
Wavelet transforms, Copy-Move Forgery or Cloning and Copy-Create Image Forgery.