An advanced texture analysis method for image sharpening detection
Document Type
Article
Publication Date
1-1-2016
Abstract
Sharpening is a kind of basic yet widely utilized digital image processing techniques designed and utilized to pursue better image quality from human visual point of view. In image forensics it is required to detect this kind of operation. Huge progress has been made in this area in recent years. Overshoot artifact, as a unique phenomenon occurring on image edges after sharpening, is important in sharpening detection. In this paper, an advanced scheme for overshoot artifact determination is proposed to boost the detection performance in the case of mildor overshoot artifact-controlled sharpening, Several groups of experiments have been conducted to corroborate the new scheme possesses the best ability for blind sharpening detection regardless of the strength of overshoot artifact.
Identifier
84964042191 (Scopus)
ISBN
[9783319319599]
Publication Title
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
External Full Text Location
https://doi.org/10.1007/978-3-319-31960-5_7
e-ISSN
16113349
ISSN
03029743
First Page
72
Last Page
82
Volume
9569
Recommended Citation
Ding, Feng; Dong, Weiqiang; Zhu, Guopu; and Shi, Yun Qing, "An advanced texture analysis method for image sharpening detection" (2016). Faculty Publications. 10890.
https://digitalcommons.njit.edu/fac_pubs/10890
