hi pls send me the ppt of copy move forgery detection and also the matlab coding of this project.

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i need image copy move forery detection of ppt and matlab coding also.

image copy move forgery detection ppt

What is the best algorithm for copy-move forgery detection (CMFD)?
A copy-move forgery is created by copying and pasting content within the same image, and potentially postprocessing it. In recent years, the detection of copy-move forgeries has become one of the most actively researched topics in blind image forensics. A considerable number of different algorithms have been proposed focusing on different types of postprocessed copies.In our paper "An Evaluation of Popular Copy-Move Forgery Detection Approaches" (TIFS 2012), we aim to answer which copy-move forgery detection features and which processing pipeline performs best in various postprocessing scenarios. We achieve this by casting existing algorithms in a common pipeline and examining the 15 most prominent feature sets. We also created a challenging real-world copy-move dataset, and a software framework for systematic image manipulation.

Now digital images are widely used in many fields. Making image forgeries with digital media editing tools is very easy, and these image forgeries are undetectable by human eyes. Copy-move forgery is common image tampering where a part of the image is copied and pasted on another parts. Up to now the useful way to detect copy-move forgeries is block matching technique. This paper firstly analyzes and summarizes block matching technique, then introduces a copy-move forgery detecting method based on local invariant feature matching. It locates copied and pasted regions by matching feature points. It detects feature points and extracts local feature using Scale Invariant Transform algorithm. Matching local features is based on k-d tree and Best-Bin-First method. Through analysis we learn computational complexity of the proposed method is similar to existing block-matching methods, but has better locating accuracy. Experiments show that this method can detect copied and pasted regions successively, even when these regions are operated by some process, such as JPEG compression, Gaussian blurring, rotation and scale.