International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 7, No. 12, 8 Nov. 2015
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Anti-Forensics of JPEG Images using Interpolation
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Author(s)
Saurabh Agarwal
1,*
Satish Chand
1
Index Terms
Anti-forensics, JPEG compression, Interpolation, compression artifacts, Image quality
Abstract
The quantization artifacts and blocking artifacts are the two significant properties for identifying the forgery in a JPEG compressed image. There are some techniques for JPEG compressed images that can remove these artifacts resulting no traces for forgery. These methods are referred as anti-forensic methods. A forger may perform some post-operations to disturb the underlying statistics of JPEG images to fool current forensic techniques. These methods create noise and reduce the image quality. In this paper we apply three different interpolation techniques namely nearest neighbor, bilinear and bicubic techniques to remove JPEG artifacts. The experimental results show that the bicubic interpolated images are found to be of better quality as compare to the nearest neighbor and bilinear interpolated images with no JPEG artifacts. For quality analysis of these interpolation methods on the images three popular quality metric are used. The proposed method is very simple to perform. This interpolation based method is applicable to both single and double JPEG compression.
Cite This Paper
Saurabh Agarwal, Satish Chand,"Anti-Forensics of JPEG Images using Interpolation", IJIGSP, vol.7, no.12, pp.10-17, 2015. DOI: 10.5815/ijigsp.2015.12.02
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