IMAGE MANIPULATION AND DETECTION

Abstract

Digital images have been used in a growing number of applications as it has experienced tremendous growth in recent decades. Nowadays, several
software’s are available that are used to manipulate image so that the image looks like as original. Images are used as authenticated proof for any crime
and if these images do not remain genuine then it will create a problem. Detecting these types of forgeries has become serious problem at present.
Concurrent with the rapid development of computers and computer programmers is the growing risk that pictures-particularly photographs-will
lose their traditional credibility as it becomes easier to manipulate them as well as our perception of their contents. It is often impossible to see whether
a picture is manipulated or authentic. This paper presents a discussion about the design of classifiers between doctored and original images and discussion
on some of the image manipulation detection techniques for the better approach for its future research.