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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 8, ISSUE 3, MARCH 2019

Image Resampling Detection: A Review

Rachna Mehta, Navneet Agarwal

DOI: 10.17148/IJARCCE.2019.8331

Abstract: Image resampling detection is a key strategy in the blind image forgery detection and has been developed a lot in a previous couple of years. This paper surveys the picture resampling detection techniques proposed in the latest years, give comprehensive differences in their performance and uncovers the principle difficulties brought up in a few significant issues, for example, detection of rotating image, reducing noise in the resampled image and improving productivity. Moreover, this paper examines the current expariments and brings up potential hotspots in this field. We accept this review can give some direction for researchers from significant research zones, offering them a general and novel view.

Keywords: Image Resampling, Interpolation, Bicubic, Bilinear, Nearest Neighbor.

How to Cite:

[1] Rachna Mehta, Navneet Agarwal, “Image Resampling Detection: A Review,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2019.8331