Journal Title : International Journal of Modern Trends in Engineering and Science


Author’s Name : Mr J S Sujin | P Keerthika | V M Mahasrishwari | C Geethaunnamed

Volume 04 Issue 04 2017

ISSN no:  2348-3121

Page no: 33-36

Abstract – In this paper proposes about the digital image to hide or to remove some meaningful or useful information of the image. It is very hard to identify the manipulated image from the original. Hence, it is important to develop such a method which can detect the manipulated one. The detection of a tampering in image is to provide authenticity and to maintain integrity of the image Tamper detection. Image editing software’s are available in low-cost, the originality of digital images can no longer be taken for granted. Digital images are used as cover data for transmitting secret information in the field of steganography. In this paper, we introduce a new set of features for multimedia forensics to find that digital image is an original camera output or it is tampered or embedded with hidden data. We identify image forensic analysis providing three sets of statistical noise features, including those from denoising operations, wavelet analysis, and neighborhood prediction. Our experimental outputs analyse that the proposed method can effectively distinguish digital images from their tampered or stego versions.

Keywords— Zernike moments,Luminanace and Chrominance,Image Tampering,Feature extraction


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