Survey on Fake Image Detection using Image Processing

To ensure the actual presence of a real legitimate trait in contrast to a fake self-manufactured synthetic or reconstructed image is a significant problem in authentication, which requires the development of new and efficient protection measures. The paper mainly deals with the detection of morphed images. In this digital world we come across many image processing software that produce doctored Images with high sophistication, which are manipulated in such a way that the tampering is not easily visible to naked eye. There is a need for developing techniques to distinguish the original images from the manipulated ones, the genuine ones from the doctored ones. There are number of ways of tampering an Image, such as splicing two different images together, removal of objects from the image, addition of objects in the image, change of appearance of objects in the image or resizing the image. In this paper, we present a software-based fake detection method that can be used in systems to detect different types of fraudulent activities. This Image Morphing detection technique detects traces of digital tampering and implemented using image processing with Demosaicing Algorithms. The objective of the proposed system is to enhance the security of image frameworks, by adding liveness assessment in a fast, user-friendly, and non-intrusive manner, through the use of image quality assessment. And also it helps to differentiate the original and manipulated images and to trace the area morphed.