False color (or false colour) refers to a group of color rendering methods used to display images in color which were recorded in the visible or non-visible parts of the electromagnetic spectrum. A false-color image is an image that depicts an object in colors that differ from those a photograph (a true-color image) would show.In addition, variants of false color such as pseudocolor (see discussion), density slicing (see discussion), and choropleths (see discussion) are used for information visualization of either data gathered by a single gr ....etc

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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 Approa ....etc

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if you again feel trouble on detection of digital image forgery please reply in that page and ask specific fields in detection of digital image forgery ....etc

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image tampering detection source code in matlab

Image Forensics
An image forgery.

The trustworthiness of photographs has an essential role in many areas, including: forensic investigation, criminal investigation, surveillance systems, intelligence services, medical imaging, and journalism. The art of making image fakery has a long history. But, in today s digital age, it is possible to very easily change the information represented by an image without leaving any obvious traces of tampering. Despite this, no system yet exists which accomplis ....etc

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matlab code for copy move forgery detection using dct

%L = imread('images/lena3.jpg');
L = imread('images/Toronto2_F.png');
L=rgb2gray(L);
figure(1);
imshow(L);

b=256; % block size used to look for duplicates
b1=sqrt(b);
Nn = 5; % how many close rows to check
Nd = 15; %Threashold
Nc=26; % Truncate PCA at this length
Nt=26;

% calculate the total size of the image
n = numel(L);

b2 = sqrt(n)-sqrt(b)+1;
% calculate Nb
Nb= power((sqrt(n)-sqrt(b)+1),2);

% the matix of Nc plus the position
M=zeros(Nb, Nc);
% temp index array
Mi = zeros(Nb, 2); ....etc

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Abstract

Each image has its own unique characteristics or properties. When we edit an image we are changing these characteristics and by examining the changes in the characteristics we can determine whether the image is edited or not. Image editing can be of two types, usual editing and copy move forgery. In copy-move forgery a part of original digital image is copied and pasted to another part in the same original image to make it, forged one. Because the copied part comes from the same image, its important properties will be compatible with ....etc

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