An efficient weak sharpening detection method for image forensics
Document Type
Article
Publication Date
1-1-2018
Abstract
In recent years, image sharpening detection has become one of the main topics in the field of image forensics. It is, however, still a challenge to detect the images sharpened with weak sharpening strength. To address this challenge, we propose an efficient method for image sharpening detection. In the proposed method, a ternary coding strategy with adaptive threshold is introduced to reveal the overshoot artifacts caused by weak sharpening. Extensive experiments are conducted to illustrate the superiority of the proposed method. The experimental results show that the proposed method can achieve a considerable improvement in sharpening detection, especially for slightly sharpened images.
Identifier
85034774842 (Scopus)
Publication Title
Journal of Visual Communication and Image Representation
External Full Text Location
https://doi.org/10.1016/j.jvcir.2017.11.009
e-ISSN
10959076
ISSN
10473203
First Page
93
Last Page
99
Volume
50
Grant
JCYJ20150630114942260
Fund Ref
National Natural Science Foundation of China
Recommended Citation
    Ding, Feng; Zhu, Guopu; Dong, Weiqiang; and Shi, Yun Qing, "An efficient weak sharpening detection method for image forensics" (2018). Faculty Publications.  9093.
    
    
    
        https://digitalcommons.njit.edu/fac_pubs/9093
    
 
				 
					