Copy Detect Image Falsification Using an Effective Set Partition of Pixels and Conversion of Wavelets

Abstract

With the recent digital photography and easy availability of photo editing software it has become possible to make modifications in an image which cannot be distinguished by naked eye. Images and videos are tampered to create sensational news, spread rumors or to alter the facts and this is becoming widespread. Image forgery is being practiced since early days of photography, much before the invention of computers. The Proposed attempt along with conventional copy move forgery has been made to detect forgery in images using localization in novel image .This method can ample scope to develop new and efficient algorithms that can handle varieties of image forgeries. It has been seen that the proposed technique is robust and can detect forgeries in rotation and scaling of the copied segments effectively than traditional methods. Experimental results can justify that our proposed technique can give more desirable results than traditional methods.