Paper Info
Title
Erasing the JPEG Compression Artifacts: An Improved Counter-Forensic Algorithm Based on Parameter Adjustment
Abstract
With the growing awareness of the fraud case for digital images, the researchers have developed some forensic techniques that based on the intrinsic statistical history or trace left by the JPEG compression to determine an image's manipulation. In this letter, we present an improved counter-forensic scheme that based on parameter adjustment. The simulation shows that by using the proposed strategy and combined with the chaotic theory, the scheme can erase the quantization artifacts perfectly, especially when the compression factor Q = 50, the improved algorithm can achieve a better counter-forensic result than the original method.
Year
DOI
Venue
2014
10.1109/BWCCA.2014.83
BWCCA
Keywords
Field
DocType
improved counter-forensic algorithm,image coding,chaotic signal,anti-forensics,parameter adjustment,jpeg compression artifacts,data compression,anti-forensics, digital image forgery, digital image authenticity, jpeg compression, chaotic signal,digital image forgery,jpeg compression,quantization artifacts,image forensics,digital image authenticity,histograms,transform coding,forensics,noise
Computer vision,Histogram,Computer science,Algorithm,Transform coding,Image coding,Digital image,Artificial intelligence,Chaotic theory,Quantization (image processing),Jpeg compression,Quantization (signal processing)
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
2
Name
Order
Citations
PageRank
Guorui Sheng152.79
Qingtang Su217616.90